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Rethinking Decision Transformer via Hierarchical Reinforcement Learning

Rethinking Decision Transformer via Hierarchical Reinforcement Learning

1 November 2023
Yi Ma
Chenjun Xiao
Hebin Liang
Jianye Hao
    OffRL
ArXivPDFHTML

Papers citing "Rethinking Decision Transformer via Hierarchical Reinforcement Learning"

16 / 16 papers shown
Title
Reinforcement Learning Gradients as Vitamin for Online Finetuning
  Decision Transformers
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan
Alex Schwing
Yu-xiong Wang
OffRL
OnRL
41
0
0
31 Oct 2024
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
Chang Chen
Junyeob Baek
Fei Deng
Kenji Kawaguchi
Çağlar Gülçehre
Sungjin Ahn
OffRL
43
1
0
10 Jun 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Qi Lv
Xiang Deng
Gongwei Chen
Michael Yu Wang
Liqiang Nie
78
7
0
08 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Subhojyoti Mukherjee
Josiah P. Hanna
Qiaomin Xie
Robert Nowak
89
2
0
07 Jun 2024
Q-Transformer: Scalable Offline Reinforcement Learning via
  Autoregressive Q-Functions
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar
Q. Vuong
A. Irpan
Karol Hausman
F. Xia
...
Brianna Zitkovich
Tomas Jackson
Kanishka Rao
Chelsea Finn
Sergey Levine
OffRL
134
81
0
18 Sep 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Denis Tarasov
Alexander Nikulin
Dmitry Akimov
Vladislav Kurenkov
Sergey Kolesnikov
OffRL
66
81
0
13 Oct 2022
Hierarchical Decision Transformer
Hierarchical Decision Transformer
André Rosa de Sousa Porfírio Correia
L. A. Alexandre
OffRL
100
10
0
21 Sep 2022
Q-learning Decision Transformer: Leveraging Dynamic Programming for
  Conditional Sequence Modelling in Offline RL
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata
Ahmed Khalil
Raúl Santos-Rodríguez
OffRL
160
72
0
08 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
358
3,338
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
450
8,699
0
28 Jan 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
852
0
12 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
283
3,879
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
257
4,816
0
24 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,930
0
31 Dec 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
343
1,968
0
04 May 2020
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