ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.13709
  4. Cited By
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning

19 May 2025
Jiayu Chen
Aravind Venugopal
Jeff Schneider
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning"

19 / 19 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
89
4
0
15 Oct 2024
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
93
3
0
26 May 2024
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
I. Char
Youngseog Chung
J. Abbate
E. Kolemen
Jeff Schneider
69
6
0
18 Apr 2024
A Unified View on Solving Objective Mismatch in Model-Based
  Reinforcement Learning
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
Ran Wei
Nathan Lambert
Anthony D. McDonald
Alfredo Garcia
Roberto Calandra
80
7
0
10 Oct 2023
Hierarchical Deep Counterfactual Regret Minimization
Hierarchical Deep Counterfactual Regret Minimization
Jiayu Chen
Tian-Shing Lan
Vaneet Aggarwal
64
3
0
27 May 2023
Distributionally Robust Model-Based Offline Reinforcement Learning with
  Near-Optimal Sample Complexity
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
Laixi Shi
Yuejie Chi
OODOffRL
83
71
0
11 Aug 2022
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
133
38
0
19 Feb 2022
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
169
283
0
04 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial
  Coverage
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
141
150
0
13 Jul 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit
  Differentiation
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
Evgenii Nikishin
Romina Abachi
Rishabh Agarwal
Pierre-Luc Bacon
OffRL
86
37
0
06 Jun 2021
The Value Equivalence Principle for Model-Based Reinforcement Learning
The Value Equivalence Principle for Model-Based Reinforcement Learning
Christopher Grimm
André Barreto
Satinder Singh
David Silver
OffRL
49
85
0
06 Nov 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank
  MDPs
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal
Sham Kakade
A. Krishnamurthy
Wen Sun
OffRL
170
227
0
18 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
143
1,831
0
08 Jun 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
49
127
0
16 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GPOffRL
229
1,381
0
15 Apr 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
130
1,371
0
03 Dec 2019
Concentration Inequalities for the Empirical Distribution
Concentration Inequalities for the Empirical Distribution
Jay Mardia
Jiantao Jiao
Ervin Tánczos
Robert D. Nowak
Tsachy Weissman
48
53
0
18 Sep 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,406
0
04 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
535
19,265
0
20 Jul 2017
1