Xueqian Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Enhancing Intent Understanding for Ambiguous Prompts through Human-Machine Co-Adaptation	2025	Yuchen He Jianhui Wang Kun Li Yijin Wang Li Sun Jun Yin Miao Zhang Xueqian Wang
+ PDF Chat	Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion	2025	Yuchen He Sida Li Kun Li Jianhui Wang B Li Tianyu Shi Jun Yin Miao Zhang Xueqian Wang
+ PDF Chat	Unlocking adaptive digital pathology through dynamic feature learning	2024	Jiawen Li Tian Guan Qingxin Xia Yizhi Wang Xitong Ling Jing Li Qiang Huang Zihan Wang Zhiyuan Shen Yifei Ma
+ PDF Chat	DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation	2024	Yun Li Linrui Zhang Xueqian Wang Houde Liu Bin Liang
+ PDF Chat	Novelty-based Sample Reuse for Continuous Robotics Control	2024	Ke Duan Kai Yang Houde Liu Xueqian Wang
+ PDF Chat	GLRT-Based Metric Learning for Remote Sensing Object Retrieval	2024	Linping Zhang Yu Liu Xueqian Wang Gang Li You He
+ PDF Chat	Like a Martial Arts Dodge: Safe Expeditious Whole-Body Control of Mobile Manipulators for Collision Avoidance	2024	Bingjie Chen Houde Liu Chongkun Xia Liang Han Xueqian Wang Bin Liang
+ PDF Chat	Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through $f$-divergence Minimization	2024	Haoyuan Sun Bo Xia Yongzhe Chang Xueqian Wang
+ PDF Chat	Range-SLAM: Ultra-Wideband-Based Smoke-Resistant Real-Time Localization and Mapping	2024	Yi Liu Zhuozhu Jian Shengtao Zheng Houde Liu Xueqian Wang Xinlei Chen Bin Liang
+ PDF Chat	Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation	2024	H. Wang Bingzhe Wu Yatao Bian Yongzhe Chang Xueqian Wang Peilin Zhao
+ PDF Chat	ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking	2024	Qinglong Meng Chongkun Xia Xueqian Wang
+ PDF Chat	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning	2024	Yilun Kong Hangyu Mao Qi Zhao Bin Zhang Jingqing Ruan Shen Li Yongzhe Chang Xueqian Wang Rui Zhao Dacheng Tao
+ PDF Chat	LVCP: LiDAR-Vision Tightly Coupled Collaborative Real-time Relative Positioning	2024	Zhuozhu Jian Qixuan Li Shengtao Zheng Xueqian Wang Xinlei Chen
+ PDF Chat	Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching	2024	Mengchen Fan Baocheng Geng Keren Li Xueqian Wang Pramod K. Varshney
+ PDF Chat	DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays	2024	Bo Xia Yilun Kong Yongzhe Chang Bo Yuan Zhiheng Li Xueqian Wang Bin Liang
+ PDF Chat	Decentralized Directed Collaboration for Personalized Federated Learning	2024	Yingqi Liu Yifan Shi Qinglun Li Baoyuan Wu Xueqian Wang Li Shen
+ PDF Chat	AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization	2024	Longxiang He Shen Li Junbo Tan Xueqian Wang
+ PDF Chat	A Method on Searching Better Activation Functions	2024	Haoyuan Sun Zihao Wu Bo Xia Pu Chang Zibin Dong Yifu Yuan Yongzhe Chang Xueqian Wang
+ PDF Chat	Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching	2024	Mengchen Fan Baocheng Geng Keren Li Xueqian Wang Pramod K. Varshney
+ PDF Chat	A General and Efficient Federated Split Learning with Pre-trained Image Transformers for Heterogeneous Data	2024	Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang
+ PDF Chat	Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering	2024	Mingqi Shao Feng Xiong Hang Zhang Shuang Yang Mu Xu Wei Bian Xueqian Wang
+ PDF Chat	GAgent: An Adaptive Rigid-Soft Gripping Agent with Vision Language Models for Complex Lighting Environments	2024	Zhuowei Li Miao Zhang Xiaotian Lin Meng Yin Shuai Lü Xueqian Wang
+ PDF Chat	Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy	2024	Chenyang Cao Zichen Yan Renhao Lu Junbo Tan Xueqian Wang
+ PDF Chat	Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing	2024	Yifan Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo
+ PDF Chat	Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping	2024	Haoyu Wang Guozheng Ma Ziqiao Meng Zeyu Qin Shen Li Zhong Zhang Bingzhe Wu Liu Liu Yatao Bian Tingyang Xu
+	Polynomial-time Approximation Scheme for Equilibriums of Games	2024	Hongbo Sun Chongkun Xia Bo Yuan Xueqian Wang Bin Liang
+	PPNet: A Novel Neural Network Structure for End-to-End Near-Optimal Path Planning	2024	Qinglong Meng Chongkun Xia Xueqian Wang Songping Mai Bin Liang
+ PDF Chat	Polarimetric Inverse Rendering for Transparent Shapes Reconstruction	2024	Mingqi Shao Chongkun Xia Dongxu Duan Xueqian Wang
+ PDF Chat	Ppnet: A Two-Stage Neural Network for End-to-End Path Planning	2024	Qinglong Meng Chongkun Xia Xueqian Wang Songping Mai Bin Liang
+ PDF Chat	Paddingflow: Improving Normalizing Flows with Padding-Dimensional Noise	2024	Qinglong Meng Chongkun Xia Xueqian Wang Bin Liang
+ PDF Chat	Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots	2023	Zhengzhe Xu Yanbo Chen Zhuozhu Jian Junbo Tan Xueqian Wang Bin Liang
+ PDF Chat	Path Generation for Wheeled Robots Autonomous Navigation on Vegetated Terrain	2023	Zhuozhu Jian Zejia Liu Haoyu Shao Xueqian Wang Xinlei Chen Bin Liang
+ PDF Chat	Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling	2023	Shoujie Li Mingshan He Wenbo Ding Linqi Ye Xueqian Wang Junbo Tan Jinqiu Yuan Xiao–Ping Zhang
+ PDF Chat	Transparent Shape from a Single View Polarization Image	2023	Mingqi Shao Chongkun Xia Zhendong Yang Junnan Huang Xueqian Wang
+ PDF Chat	Visual–Tactile Fusion for Transparent Object Grasping in Complex Backgrounds	2023	Shoujie Li Haixin Yu Wenbo Ding Houde Liu Linqi Ye Chongkun Xia Xueqian Wang Xiao–Ping Zhang
+ PDF Chat	Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks	2023	Linrui Zhang Qin Zhang Shen Li Bo Yuan Xueqian Wang Dacheng Tao
+ PDF Chat	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization	2023	Tiantian Zhang Zichuan Lin Yuxing Wang Deheng Ye Qiang Fu Wei Yang Xueqian Wang Bin Liang Bo Yuan Xiu Li
+ PDF Chat	Make Landscape Flatter in Differentially Private Federated Learning	2023	Yifan Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao
+ PDF Chat	Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot	2023	Zhuozhu Jian Zihong Yan Xuanang Lei Zihong Lu Bin Lan Xueqian Wang Bin Liang
+ PDF Chat	USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation	2023	Zhengrong Xue Zhecheng Yuan Jiashun Wang Xueqian Wang Yang Gao Huazhe Xu
+ PDF Chat	Quadruped Guidance Robot for the Visually Impaired: A Comfort-Based Approach	2023	Yanbo Chen Zhengzhe Xu Zhuozhu Jian Gengpan Tang Liyunong Yang Anxing Xiao Xueqian Wang Bin Liang
+ PDF Chat	Learning visual-based deformable object rearrangement with local graph neural networks	2023	Yuhong Deng Xueqian Wang Lipeng Chen
+	SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning	2023	Qin Zhang Linrui Zhang Haoran Xu Li Shen Bowen Wang Yongzhe Chang Xueqian Wang Bo Yuan Dacheng Tao
+	Improving the Model Consistency of Decentralized Federated Learning	2023	Yifan Shi Li Shen Wei Kang Yan Sun Bo Yuan Xueqian Wang Dacheng Tao
+	Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics	2023	Kai Mo Yuhong Deng Chongkun Xia Xueqian Wang
+	Make Landscape Flatter in Differentially Private Federated Learning	2023	Yifan Shi Yingqi Liu Wei Kang Li Shen Xueqian Wang Dacheng Tao
+	COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images Based on Copula Mixtures and Cycle-Consistent Adversarial Networks	2023	Chengxi Li Gang Li Zhuoyue Wang Xueqian Wang Pramod K. Varshney
+	Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy	2023	Yifan Shi Wei Kang Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao
+	Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing	2023	Yifan Shi Wei Kang Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo
+	Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling	2023	Shoujie Li Mingshan He Wenbo Ding Linqi Ye Xueqian Wang Junbo Tan Jinqiu Yuan Xiaoping Zhang
+	Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training	2023	Yifan Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao
+	Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning	2023	Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao
+	Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots	2023	Zhengzhe Xu Yanbo Chen Zhuozhu Jian Xueqian Wang Bin Liang
+	Path Generation for Wheeled Robots Autonomous Navigation on Vegetated Terrain	2023	Zhuozhu Jian Zejia Liu Haoyu Shao Xueqian Wang Xinlei Chen Bin Liang
+	Differentiable Frank-Wolfe Optimization Layer	2023	Zixuan Liu Liu Liu Xueqian Wang Peilin Zhao
+	Are Large Language Models Really Robust to Word-Level Perturbations?	2023	H. Wang Guozheng Ma Cong Yu Ning Gui Linrui Zhang Zhiqi Huang Suwei Ma Yongzhe Chang Sen Zhang Li Shen
+	Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models	2023	Zihao Lin Yan Sun Yifan Shi Xueqian Wang Lifu Huang Li Shen Dacheng Tao
+	DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning	2023	Longxiang He Linrui Zhang Junbo Tan Xueqian Wang
+	Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages	2023	Guozheng Ma Lu Li Sen Zhang Zixuan Liu Zhen Wang Yixin Chen Shen Li Xueqian Wang Dacheng Tao
+	Learning visual-based deformable object rearrangement with local graph neural networks	2023	Yuhong Deng Xueqian Wang Lipeng Chen
+	Replay-enhanced Continual Reinforcement Learning	2023	Tiantian Zhang Kevin Shen Zichuan Lin Bo Yuan Xueqian Wang Xiu Li Deheng Ye
+ PDF Chat	Foldsformer: Learning Sequential Multi-Step Cloth Manipulation With Space-Time Attention	2022	Kai Mo Chongkun Xia Xueqian Wang Yuhong Deng Xuehai Gao Bin Liang
+ PDF Chat	The Simplest Balance Controller for Dynamic Walking	2022	Linqi Ye Xueqian Wang Houde Liu Bin Liang
+ PDF Chat	A surrogate-assisted controller for expensive evolutionary reinforcement learning	2022	Yuxing Wang Tiantian Zhang Yongzhe Chang Xueqian Wang Bin Liang Bo Yuan
+ PDF Chat	PUTN: A Plane-fitting based Uneven Terrain Navigation Framework	2022	Zhuozhu Jian Zihong Lu Xiao Zhou Bin Lan Anxing Xiao Xueqian Wang Bin Liang
+ PDF Chat	Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning	2022	Linrui Zhang Zichen Yan Li Shen Shoujie Li Xueqian Wang Dacheng Tao
+ PDF Chat	Deep Reinforcement Learning Based on Local GNN for Goal-Conditioned Deformable Object Rearranging	2022	Yuhong Deng Chongkun Xia Xueqian Wang Lipeng Chen
+ PDF Chat	Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging Task	2022	Yuhong Deng Chongkun Xia Xueqian Wang Lipeng Chen
+ PDF Chat	Value Penalized Q-Learning for Recommender Systems	2022	Chengqian Gao Ke Xu Kuangqi Zhou Lanqing Li Xueqian Wang Bo Yuan Peilin Zhao
+ PDF Chat	Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation	2022	Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan
+	PUTN: A Plane-fitting based Uneven Terrain Navigation Framework	2022	Zhuozhu Jian Zihong Lu Xiaofang Zhou Bin Lan Anxing Xiao Xueqian Wang Bin Liang
+	Quadruped Guidance Robot for the Visually Impaired: A Comfort-Based Approach	2022	Yanbo Chen Zhengzhe Xu Zhuozhu Jian Gengpan Tang Yunong Yangli Anxing Xiao Xueqian Wang Bin Liang
+	A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning	2022	Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan
+	SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving	2022	Linrui Zhang Qin Zhang Li Shen Bo Yuan Xueqian Wang
+	Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning	2022	Zhecheng Yuan Guozheng Ma Yao Mu Bo Xia Bo Yuan Xueqian Wang Ping Luo Huazhe Xu
+	Polarimetric Inverse Rendering for Transparent Shapes Reconstruction	2022	Mingqi Shao Chongkun Xia Dongxu Duan Xueqian Wang
+	Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization	2022	Tiantian Zhang Zichuan Lin Yuxing Wang Deheng Ye Qiang Fu Wei Yang Xueqian Wang Bin Liang Bo Yuan Xiu Li
+	Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot	2022	Zhuozhu Jian Zihong Yan Xuanang Lei Zihong Lu Bin Lan Xueqian Wang Bin Liang
+	USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation	2022	Zhengrong Xue Zhecheng Yuan Jiashun Wang Xueqian Wang Yang Gao Huazhe Xu
+	A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning	2022	Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao
+	The Simplest Balance Controller for Dynamic Walking	2022	Linqi Ye Xueqian Wang Houde Liu Bin Liang
+	Penalized Proximal Policy Optimization for Safe Reinforcement Learning	2022	Linrui Zhang Li Shen Long Yang Shixiang Chen Bo Yuan Xueqian Wang Dacheng Tao
+	Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds	2022	Shoujie Li Haixin Yu Wenbo Ding Houde Liu Linqi Ye Chongkun Xia Xueqian Wang Xiao–Ping Zhang
+	Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks	2022	Linrui Zhang Qin Zhang Shen Li Bo Yuan Xueqian Wang Dacheng Tao
+	Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning	2022	Linrui Zhang Zichen Yan Li Shen Shoujie Li Xueqian Wang Dacheng Tao
+	Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning	2022	Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu
+ PDF Chat	Probability Density Estimation Based Imitation Learning	2021	Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan
+	Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation	2021	Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan
+	Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation	2021	Tiantian Zhang Xueqian Wang Bin Liang Bo Yuan
+	Orientation to Pose: Continuum Robots Shape Sensing Based on Piecewise Polynomial Curvature Model	2021	Hao Cheng Hongji Shang Bin Lan Houde Liu Xueqian Wang Bin Liang
+	Probability Density Estimation Based Imitation Learning	2021	Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan
+ PDF Chat	Approximate Piecewise Constant Curvature Equivalent Model and Their Application to Continuum Robot Configuration Estimation	2020	Hao Cheng Houde Liu Xueqian Wang Bin Liang
+	Approximate Piecewise Constant Curvature Equivalent Model and Their Application to Continuum Robot Configuration Estimation	2020	Hao Cheng Houde Liu Xueqian Wang Bin Liang
+	Study on Liquid Ring Compressor Theoretical Model and Suction Compression Performance Based on the Actual Working Cycle	2019	Si Huang Xueqian Wang Yushi Mo Zhanfa Zhang
+	Simulation Experiment of BCI Based on Imagined Speech EEG Decoding	2017	Kang Wang Xueqian Wang Gang Li
+ PDF Chat	Theoretical Model for the Performance of Liquid Ring Pump Based on the Actual Operating Cycle	2017	Si Huang Jing He Xueqian Wang Guangqi Qiu

Common Coauthors

Coauthor	Papers Together
Bo Yuan	23
Dacheng Tao	17
Bin Liang	16
Chongkun Xia	14
Zhuozhu Jian	12
Houde Liu	11
Linrui Zhang	11
Bin Liang	11
Li Shen	9
Yongzhe Chang	9
Yifan Shi	9
Junbo Tan	7
Li Shen	7
Guozheng Ma	6
Linqi Ye	6
Yingqi Liu	5
Peilin Zhao	5
Yuhong Deng	5
Tiantian Zhang	5
Mingqi Shao	4
Wenbo Ding	4
Anxing Xiao	4
Zhengzhe Xu	4
Wei Kang	4
Shen Li	4
Yanbo Chen	4
Zihong Lu	4
Huazhe Xu	4
Zhecheng Yuan	3
Shoujie Li	3
Deheng Ye	3
Zichuan Lin	3
Shoujie Li	3
Zhengrong Xue	3
Xiu Li	3
Qinglong Meng	3
Xiao–Ping Zhang	3
Bin Lan	3
Hao Cheng	3
Pramod K. Varshney	2
Zihong Yan	2
Song Guo	2
Kun Li	2
Keren Li	2
Bingzhe Wu	2
Tiantian Zhang	2
Kang Wei	2
Xuanang Lei	2
Qiang Fu	2
Yang Gao	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Long-Range Indoor Navigation With PRM-RL	2020	Anthony Francis Aleksandra Faust Hao-Tien Lewis Chiang Jasmine Hsu J. Chase Kew Marek Fišer Tsang-Wei Edward Lee	5
+ PDF Chat	Combining self-supervised learning and imitation for vision-based rope manipulation	2017	Ashvin Nair Dian Chen Pulkit Agrawal Phillip Isola Pieter Abbeel Jitendra Malik Sergey Levine	4
+ PDF Chat	iCaRL: Incremental Classifier and Representation Learning	2017	Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl Christoph H. Lampert	4
+	Progressive Neural Networks	2016	Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer James Kirkpatrick Koray Kavukcuoglu Razvan Pascanu Raia Hadsell	4
+ PDF Chat	Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting	2020	Craig Atkinson Brendan McCane Lech Szymanski Anthony Robins	4
+ PDF Chat	Continual Reinforcement Learning in 3D Non-stationary Environments	2020	Vincenzo Lomonaco Karan Desai Eugenio Culurciello Davide Maltoni	4
+ PDF Chat	Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation	2020	Shreeyak S. Sajjan Matthew R. Moore Mike Pan Ganesh Nagaraja Johnny Lee Andy Zeng Shuran Song	4
+ PDF Chat	Selective Experience Replay for Lifelong Learning	2018	David Isele Akansel Cosgun	4
+ PDF Chat	PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning	2018	Arun Mallya Svetlana Lazebnik	4
+ PDF Chat	Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks	2021	Daniel Seita Pete Florence Jonathan Tompson Erwin Coumans Vikas Sindhwani Ken Goldberg Andy Zeng	4
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	4
+	Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification	2019	Harry Chia-Hung Hsu Hang Qi Matthew A. Brown	3
+	Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges	2019	Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz-Rodríguez	3
+	Dopamine: A Research Framework for Deep Reinforcement Learning	2018	Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Towards Continual Reinforcement Learning: A Review and Perspectives	2022	Khimya Khetarpal Matthew Riemer Irina Rish Doina Precup	3
+ PDF Chat	Deep Reinforcement Learning with Double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver	3
+	On Catastrophic Interference in Atari 2600 Games	2020	William Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle	3
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	3
+ PDF Chat	RGB-D Local Implicit Function for Depth Completion of Transparent Objects	2021	Luyang Zhu Arsalan Mousavian Xiang Yu Hammad Mazhar Jozef van Eenbergen Shoubhik Debnath Dieter Fox	3
+ PDF Chat	The Utility of Sparse Representations for Control in Reinforcement Learning	2019	Vincent Liu Raksha Kumaraswamy Lei Le Martha White	3
+ PDF Chat	Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	Matteo Hessel Joseph Modayil Hado van Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot Mohammad Gheshlaghi Azar David Silver	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Ray Interference: a Source of Plateaus in Deep Reinforcement Learning	2019	Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu	3
+ PDF Chat	Learning Navigation Behaviors End-to-End With AutoRL	2019	Hao-Tien Lewis Chiang Aleksandra Faust Marek Fišer Anthony Francis	3
+	Learning to Manipulate Deformable Objects without Demonstrations	2020	Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel	3
+ PDF Chat	Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment	2019	Yuhong Deng Xiaofeng Guo Yixuan Wei Kai Lu Bin Fang Di Guo Huaping Liu Fuchun Sun	3
+ PDF Chat	Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction	2020	Vishal Jain William Fedus Hugo Larochelle Doina Precup Marc G. Bellemare	3
+	PathNet: Evolution Channels Gradient Descent in Super Neural Networks	2017	Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwólš David Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra	3
+	Continual Learning via Neural Pruning	2019	Siavash Golkar M. Kagan Kyunghyun Cho	3
+	Learning Predictive Representations for Deformable Objects Using Contrastive Estimation	2020	Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto	3
+ PDF Chat	A continual learning survey: Defying forgetting in classification tasks	2021	Matthias Delange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia Aleš Leonardis Greg Slabaugh Tinne Tuytelaars	3
+ PDF Chat	PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning	2018	Aleksandra Faust Kenneth Oslund Óscar Ramírez Anthony Francis Lydia Tapia Marek Fišer James Davidson	3
+ PDF Chat	The Importance of Skip Connections in Biomedical Image Segmentation	2016	Michal Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury Chris Pal	2
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	2
+ PDF Chat	Real-time grasp detection using convolutional neural networks	2015	Joseph Redmon Anelia Angelova	2
+	Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization	2008	Lorenz T. Biegler Víctor M. Zavala	2
+	Continual Unsupervised Representation Learning	2019	Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu Raia Hadsell	2
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	2
+ PDF Chat	Plenoptic Monte Carlo Object Localization for Robot Grasping Under Layered Translucency	2018	Zheming Zhou Zhiqiang Sui Odest Chadwicke Jenkins	2
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+	Learning Robotic Manipulation through Visual Planning and Acting	2019	Angelina Wang Thanard Kurutach Kara Liu Pieter Abbeel Aviv Tamar	2
+ PDF Chat	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning	2020	Deheng Ye Zhao Liu Mingfei Sun Bei Shi Peilin Zhao Hao Wu Hongsheng Yu Shaojie Yang Xipeng Wu Qingwei Guo	2
+ PDF Chat	VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator	2018	Tong Qin Peiliang Li Shaojie Shen	2
+ PDF Chat	TossingBot: Learning to Throw Arbitrary Objects With Residual Physics	2020	Andy Zeng Shuran Song Johnny Lee Alberto Rodríguez Thomas Funkhouser	2
+ PDF Chat	Sampling-based algorithms for optimal motion planning	2011	Sertaç Karaman Emilio Frazzoli	2
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	2
+ PDF Chat	Flexible Stereo: Constrained, Non-Rigid, Wide-Baseline Stereo Vision for Fixed-Wing Aerial Platforms	2018	Timo Hinzmann Tim Taubner Roland Siegwart	2
+	Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics	2017	Jeffrey Mahler Jacky Liang Sherdil Niyaz Michael Laskey Richard Doan Xinyu Liu Juan Pablo Aparicio Ken Goldberg	2
+ PDF Chat	GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger	2018	Elliott Donlon Siyuan Dong Melody Liu Jianhua Li Edward H. Adelson Alberto Rodríguez	2