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Model-Based Offline Reinforcement Learning with Pessimism-Modulated
  Dynamics Belief

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief

13 October 2022
Kaiyang Guo
Yunfeng Shao
Yanhui Geng
    OffRL
ArXivPDFHTML

Papers citing "Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief"

8 / 8 papers shown
Title
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen
Wentse Chen
Jeff Schneider
OffRL
31
1
0
15 Oct 2024
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
Mao Hong
Zhiyue Zhang
Yue Wu
Yan Xu
OffRL
48
0
0
21 Jan 2024
Importance Weighted Actor-Critic for Optimal Conservative Offline
  Reinforcement Learning
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Hanlin Zhu
Paria Rashidinejad
Jiantao Jiao
OffRL
38
15
0
30 Jan 2023
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
105
262
0
04 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
415
0
16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
209
119
0
21 Jul 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,631
0
02 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
1