Single Episode Policy Transfer in Reinforcement Learning

Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel Faissol

Type: Preprint

Publication Date: 2019-01-01

Citations: 22

DOI: https://doi.org/10.48550/arxiv.1910.07719

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Single Episode Policy Transfer in Reinforcement Learning	2019	Jiachen Yang Brenden K. Petersen Hongyuan Zha Daniel Faissol
+	Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts	2020	Michael Gimelfarb Scott Sanner Chi-Guhn Lee
+	Adaptive Policy Transfer in Reinforcement Learning	2021	Girish Joshi Girish Chowdhary
+	Adaptive Policy Transfer in Reinforcement Learning	2021	Girish P. Joshi Girish Chowdhary
+ PDF Chat	TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning	2024	Batıkan Bora Ormancı Phillip Swazinna Steffen Udluft Thomas A. Runkler
+	Provably Efficient Model-based Policy Adaptation	2020	Yuda Song Aditi Mavalankar W. Sun Sicun Gao
+ PDF Chat	Provably Efficient Model-based Policy Adaptation	2020	Yuda Song Aditi Mavalankar Wen Sun Sicun Gao
+ PDF Chat	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data	2024	Chenyuan Qu Laixi Shi Kishan Panaganti Pengcheng You Adam Wierman
+ PDF Chat	Soft Action Priors: Towards Robust Policy Transfer	2023	Matheus Centa Pierre‐Marie Preux
+	Soft Action Priors: Towards Robust Policy Transfer	2022	Matheus Centa Pierre‐Marie Preux
+	OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching	2021	Hana Hoshino Kei Ota Asako Kanezaki Rio Yokota
+ PDF Chat	OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching	2022	Hana Hoshino Kei Ota Asako Kanezaki Rio Yokota
+ PDF Chat	Transferable Reinforcement Learning via Generalized Occupancy Models	2024	Chuning Zhu Xinqi Wang Tyler Han Simon S. Du Abhishek Gupta
+	POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning	2022	Frederik Schubert Carolin Benjamins Sebastian Döhler Bodo Rosenhahn Marius Lindauer
+	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer	2020	Tianpei Yang Jianye Hao Zhaopeng Meng Zongzhang Zhang Yujing Hu Yingfeng Cheng Changjie Fan Weixun Wang Wulong Liu Zhaodong Wang
+	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer	2020	Tianpei Yang Jianye Hao Zhaopeng Meng Zongzhang Zhang Yujing Hu Yingfeng Chen Changjie Fan Weixun Wang Wulong Liu Zhaodong Wang
+	A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning	2022	Archit Sharma Rehaan Ahmad Chelsea Finn
+	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics	2020	Parameswaran Kamalaruban Yu‐Ting Huang Ya-Ping Hsieh Paul Rolland Cheng Shi Volkan Cevher
+	Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling	2020	Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine
+	Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling	2022	Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu

Works That Cite This (15)

Action	Title	Year	Authors
+ PDF Chat	Unsupervised Visual Attention and Invariance for Reinforcement Learning	2021	Xudong Wang Long Lian Stella X. Yu
+	Sequential Transfer in Reinforcement Learning with a Generative Model	2020	Andrea Tirinzoni Riccardo Poiani Marcello Restelli
+ PDF Chat	Generalization in Reinforcement Learning by Soft Data Augmentation	2021	Nicklas Hansen Xiaolong Wang
+ PDF Chat	Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning	2021	Matthias Müller-Brockhausen Mike Preuß Aske Plaat
+	SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies	2021	Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar
+	Fast Adaptation via Policy-Dynamics Value Functions	2020	Roberta Raileanu Max A. Goldstein Arthur Szlam Rob Fergus
+ PDF Chat	Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations	2024	Renzhe Zhou Chen-Xiao Gao Zongzhang Zhang Yang Yu
+	Self-Supervised Policy Adaptation during Deployment	2020	Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang
+	PAC Bounds for Imitation and Model-based Batch Learning of Contextual Markov Decision Processes	2020	Yash Nair Finale Doshi‐Velez
+ PDF Chat	Behavior Self-Organization Supports Task Inference for Continual Robot Learning	2021	Muhammad Burhan Hafez Stefan Wermter

Works Cited by This (15)

Action	Title	Year	Authors
+	Deep reinforcement learning with double Q-Learning	2016	Hado van Hasselt Arthur Guez David Silver
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov
+	An Overview of Machine Teaching	2018	Xiaojin Zhu Adish Singla Sandra Zilles Anna N. Rafferty
+	Learning to Explore with Meta-Policy Gradient	2018	Tian-Bing Xu Qiang Liu Liang Zhao Jian Peng
+	Decoupling Dynamics and Reward for Transfer Learning	2018	Amy Zhang Harsh Satija Joëlle Pineau
+ PDF Chat	Towards multi-drug adaptive therapy	2018	Jeffrey West You Li Jingsong Zhang Robert A. Gatenby Joel S. Brown Paul K. Newton Alexander R.A. Anderson
+	Efficient transfer learning and online adaptation with latent variable models for continuous control	2018	Christian F. Perez Felipe Petroski Such Theofanis Karaletsos
+	Fast Context Adaptation via Meta-Learning	2018	Luisa Zintgraf Kyriacos Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson
+ PDF Chat	Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes	2017	Taylor W. Killian George Konidaris Finale Doshi‐Velez