Rethinking Decision Transformer via Hierarchical Reinforcement Learning

Yi Ma, Chenjun Xiao, Hebin Liang, Jianye Hao

Type: Preprint

Publication Date: 2023-01-01

Citations: 1

DOI: https://doi.org/10.48550/arxiv.2311.00267

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	Context-Former: Stitching via Latent Conditioned Sequence Modeling	2024	Ziqi Zhang Jingzehua Xu Zifeng Zhuang Jinxin Liu Donglin Wang
+	Hierarchical Decision Transformer	2022	André Correia Luı́s A. Alexandre
+	Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL	2022	Taku Yamagata Ahmed Khalil Raúl Santos‐Rodríguez
+ PDF Chat	DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting	2024	Eric Hanchen Jiang Zhi Feng Zhang Dinghuai Zhang Andrew Lizarraga Chenheng Xu Yasi Zhang Siyan Zhao Zhengjie Xu Peiyu Yu Y. A. Tang
+ PDF Chat	Hierarchical Decision Transformer	2023	André Correia Luı́s A. Alexandre
+ PDF Chat	Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control	2024	Devdhar Patel Hava T. Siegelmann
+	Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings	2018	John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine
+	Offline Reinforcement Learning as One Big Sequence Modeling Problem.	2021	Michael Jänner Qiyang Li Sergey Levine
+	Multi-Objective Decision Transformers for Offline Reinforcement Learning	2023	Abdelghani Ghanem Philippe Ciblat Mounir Ghogho
+ PDF Chat	In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought	2024	Sili Huang Jifeng Hu Hechang Chen Lichao Sun Bo Yang
+	Offline Reinforcement Learning as One Big Sequence Modeling Problem	2021	Michael Jänner Qiyang Li Sergey Levine
+	Data-Efficient Hierarchical Reinforcement Learning	2018	Ofir Nachum Shixiang Gu Honglak Lee Sergey Levine
+	Data-Efficient Hierarchical Reinforcement Learning	2018	Ofir Nachum Shixiang Gu Honglak Lee Sergey Levine
+	Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?	2019	Ofir Nachum Haoran Tang Xingyu Lu Shixiang Gu Honglak Lee Sergey Levine
+	Generalized Decision Transformer for Offline Hindsight Information Matching	2021	Hiroki Furuta Yutaka Matsuo Shixiang Gu
+	Generalized Decision Transformer for Offline Hindsight Information Matching	2021	Hiroki Furuta Yutaka Matsuo Shixiang Gu
+ PDF Chat	Guided Cooperation in Hierarchical Reinforcement Learning via Model-Based Rollout	2024	Haoran Wang Zeshen Tang Yaoru Sun Fang Wang Siyu Zhang Yeming Chen
+ PDF Chat	AdaCred: Adaptive Causal Decision Transformers with Feature Crediting	2024	Hemant Kumawat Saibal Mukhopadhyay
+	Masked Trajectory Models for Prediction, Representation, and Control	2023	Philipp Wu Arjun Majumdar Kevin H. Stone Yixin Lin Igor Mordatch Pieter Abbeel Aravind Rajeswaran
+ PDF Chat	Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL	2024	Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (0)

Action	Title	Year	Authors