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. 2305.12663
  4. Cited By
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning
  via Transition Occupancy Matching

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

22 May 2023
Yecheng Jason Ma
K. Sivakumar
Jason Yan
Osbert Bastani
Dinesh Jayaraman
    OffRL
    MU
ArXivPDFHTML

Papers citing "TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching"

5 / 5 papers shown
Title
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu-Juan Luo
Tianying Ji
Fuchun Sun
Jianwei Zhang
Huazhe Xu
Xianyuan Zhan
OffRL
48
3
0
29 May 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
23
6
0
10 Oct 2023
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu
Jianxiong Li
Xianyuan Zhan
Qing-Shan Jia
Ya-Qin Zhang
11
8
0
27 May 2023
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach
Alexander Khazatsky
Sergey Levine
Ruslan Salakhutdinov
OffRL
191
43
0
06 Oct 2021
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
143
404
0
25 Sep 2019
1