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Conservative Q-Learning for Offline Reinforcement Learning

Conservative Q-Learning for Offline Reinforcement Learning

8 June 2020
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
    OffRL
    OnRL
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Papers citing "Conservative Q-Learning for Offline Reinforcement Learning"

50 / 431 papers shown
Title
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
  Learning
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
Trevor A. McInroe
Adam Jelley
Stefano V. Albrecht
Amos Storkey
OffRL
OnRL
28
6
0
09 Oct 2023
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline
  Reinforcement Learning
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan Luo
Tian Xu
Xingchen Cao
Yang Yu
OffRL
32
7
0
09 Oct 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced
  Datasets
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
Zhang-Wei Hong
Aviral Kumar
Sathwik Karnik
Abhishek Bhandwaldar
Akash Srivastava
Joni Pajarinen
Romain Laroche
Abhishek Gupta
Pulkit Agrawal
OffRL
38
19
0
06 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
Homayoun Najjaran
35
11
0
04 Oct 2023
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Zecheng Wang
Che Wang
Zixuan Dong
Keith Ross
OffRL
38
5
0
01 Oct 2023
Stackelberg Batch Policy Learning
Stackelberg Batch Policy Learning
Wenzhuo Zhou
Annie Qu
OffRL
35
1
0
28 Sep 2023
Zero-Shot Reinforcement Learning from Low Quality Data
Zero-Shot Reinforcement Learning from Low Quality Data
Scott Jeen
Tom Bewley
Jonathan M. Cullen
OffRL
OnRL
40
1
0
26 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
Haoyi Niu
Tianying Ji
Bingqi Liu
Haocheng Zhao
Xiangyu Zhu
Jianying Zheng
Pengfei Huang
Guyue Zhou
Jianming Hu
Xianyuan Zhan
OffRL
OnRL
AI4CE
29
7
0
22 Sep 2023
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
Sicheng Yang
Zehao Wang
Zhiyong Wu
Minglei Li
Zhensong Zhang
...
Lei Hao
Songcen Xu
Xiaofei Wu
Changpeng Yang
Zonghong Dai
DiffM
54
14
0
13 Sep 2023
ACT: Empowering Decision Transformer with Dynamic Programming via
  Advantage Conditioning
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Chenxiao Gao
Chenyang Wu
Mingjun Cao
Rui Kong
Zongzhang Zhang
Yang Yu
OffRL
34
13
0
12 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement
  Learning
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis
Justin Jung
Falcon Z. Dai
Matthew R. Walter
OffRL
47
0
0
08 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with
  Expert Guidance
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance
Qisen Yang
Shenzhi Wang
Qihang Zhang
Gao Huang
Shiji Song
OffRL
OnRL
30
8
0
04 Sep 2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline
  Data in the Real World
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Nicolas Gurtler
Felix Widmaier
Cansu Sancaktar
Sebastian Blaes
Pavel Kolev
...
Arman Raayatsanati
Hehui Zheng
Barnabas Gavin Cangan
Bernhard Schölkopf
Georg Martius
OffRL
35
2
0
15 Aug 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Nico Gürtler
Sebastian Blaes
Pavel Kolev
Felix Widmaier
Manuel Wüthrich
Stefan Bauer
Bernhard Schölkopf
Georg Martius
OffRL
33
28
0
28 Jul 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local
  Value Regularization
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang
Haoran Xu
Yinan Zheng
Xianyuan Zhan
OffRL
35
23
0
21 Jul 2023
PASTA: Pretrained Action-State Transformer Agents
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige
Yannis Flet-Berliac
Arthur Flajolet
Guillaume Richard
Thomas Pierrot
LM&Ro
OffRL
42
5
0
20 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
35
5
0
13 Jul 2023
Diffusion Policies for Out-of-Distribution Generalization in Offline
  Reinforcement Learning
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
S. E. Ada
Erhan Öztop
Emre Ugur
OffRL
49
15
0
10 Jul 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Outongyi Lv
Bingxin Zhou
OffRL
44
0
0
05 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
25
7
0
04 Jul 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Jinyi Liu
Yi Ma
Jianye Hao
Yujing Hu
Yan Zheng
Tangjie Lv
Changjie Fan
OffRL
47
2
0
27 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden
  Confounding
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Alizée Pace
Hugo Yèche
Bernhard Schölkopf
Gunnar Rätsch
Guy Tennenholtz
OffRL
25
6
0
01 Jun 2023
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive
  Control
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis
Yingchen Xu
B. Hashemi
Lucas Lehnert
Ürün Dogan
Zheqing Zhu
Olivier Delalleau
OffRL
34
9
0
01 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Qian Lin
Bo Tang
Zifan Wu
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
OffRL
38
11
0
01 Jun 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness
  Guarantees
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
Pengfei Li
Jianyi Yang
Shaolei Ren
OffRL
27
4
0
31 May 2023
Offline Meta Reinforcement Learning with In-Distribution Online
  Adaptation
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
Jianhao Wang
Jin Zhang
Haozhe Jiang
Junyu Zhang
Liwei Wang
Chongjie Zhang
OffRL
26
9
0
31 May 2023
Robust Reinforcement Learning Objectives for Sequential Recommender
  Systems
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Melissa Mozifian
Tristan Sylvain
David Evans
Li Meng
OffRL
28
0
0
30 May 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
36
11
0
25 May 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Denis Tarasov
Vladislav Kurenkov
Alexander Nikulin
Sergey Kolesnikov
OffRL
33
37
0
16 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust
  Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Jose H. Blanchet
Miao Lu
Tong Zhang
Han Zhong
OffRL
45
30
0
16 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking
Prompt-Tuning Decision Transformer with Preference Ranking
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
32
14
0
16 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning
Federated Ensemble-Directed Offline Reinforcement Learning
Desik Rengarajan
N. Ragothaman
D. Kalathil
S. Shakkottai
OffRL
32
1
0
04 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data
Distance Weighted Supervised Learning for Offline Interaction Data
Joey Hejna
Jensen Gao
Dorsa Sadigh
OffRL
38
13
0
26 Apr 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
Qiyang Li
Aviral Kumar
Ilya Kostrikov
Sergey Levine
OffRL
32
31
0
20 Apr 2023
Affordances from Human Videos as a Versatile Representation for Robotics
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl
Russell Mendonca
Lili Chen
Unnat Jain
Deepak Pathak
55
164
0
17 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions
Reinforcement Learning from Passive Data via Latent Intentions
Dibya Ghosh
Chethan Bhateja
Sergey Levine
OffRL
33
44
0
10 Apr 2023
Learning Robot Manipulation from Cross-Morphology Demonstration
Learning Robot Manipulation from Cross-Morphology Demonstration
G. Salhotra
Isabella Liu
Gaurav Sukhatme
LM&Ro
25
9
0
07 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Tongzhou Wang
Antonio Torralba
Phillip Isola
Amy Zhang
OffRL
34
34
0
03 Apr 2023
Chain-of-Thought Predictive Control
Chain-of-Thought Predictive Control
Zhiwei Jia
Vineet Thumuluri
Fangchen Liu
Ling-Hao Chen
Zhiao Huang
H. Su
LM&Ro
39
20
0
03 Apr 2023
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning
  from Observations
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Anqi Li
Byron Boots
Ching-An Cheng
OffRL
28
16
0
30 Mar 2023
Planning with Sequence Models through Iterative Energy Minimization
Planning with Sequence Models through Iterative Energy Minimization
Hongyi Chen
Yilun Du
Yiye Chen
J. Tenenbaum
Patricio A. Vela
32
6
0
28 Mar 2023
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value
  Regularization
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Haoran Xu
Li Jiang
Jianxiong Li
Zhuoran Yang
Zhaoran Wang
Victor Chan
Xianyuan Zhan
OffRL
36
73
0
28 Mar 2023
Optimal Transport for Offline Imitation Learning
Optimal Transport for Offline Imitation Learning
Yicheng Luo
Zhengyao Jiang
Samuel N. Cohen
Edward Grefenstette
M. Deisenroth
OffRL
43
26
0
24 Mar 2023
Deep RL with Hierarchical Action Exploration for Dialogue Generation
Deep RL with Hierarchical Action Exploration for Dialogue Generation
Itsugun Cho
Ryota Takahashi
Yusaku Yanase
Hiroaki Saito
28
2
0
22 Mar 2023
Towards Real-World Applications of Personalized Anesthesia Using Policy
  Constraint Q Learning for Propofol Infusion Control
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control
Xiuding Cai
Jiao Chen
Yaoyao Zhu
Beiming Wang
Yu Yao
OffRL
38
5
0
17 Mar 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng
Xufang Luo
Pengfei Wei
Xuan Song
Dongsheng Li
Jing Jiang
OffRL
OnRL
18
21
0
14 Mar 2023
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End
  Policy and Optimistic Smooth Fictitious Play
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play
Wei Xi
Yongxin Zhang
Changnan Xiao
Xuefeng Huang
Shihong Deng
Haowei Liang
Jie Chen
Peng Sun
OffRL
50
8
0
07 Mar 2023
Environment Transformer and Policy Optimization for Model-Based Offline
  Reinforcement Learning
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang
Meixin Zhu
Shaojie Shen
OffRL
33
1
0
07 Mar 2023
Graph Decision Transformer
Graph Decision Transformer
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
36
15
0
07 Mar 2023
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