Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning

15 October 2024

Papers citing "Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning"

35 / 35 papers shown

Title
SOReL and TOReL: Two Methods for Fully Offline Reinforcement Learning Mattie Fellows Clarisse Wibault Uljad Berdica Johannes Forkel Jakob Foerster Michael A. Osborne OffRL OnRL 20 0 0 28 May 2025
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning Jiayu Chen Aravind Venugopal Jeff Schneider OffRL 44 0 0 19 May 2025
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 84 3 0 26 May 2024
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks I. Char Youngseog Chung J. Abbate E. Kolemen Jeff Schneider 57 5 0 18 Apr 2024
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions Jiayu Chen Bhargav Ganguly Yang Xu Yongsheng Mei Tian-Shing Lan Vaneet Aggarwal OffRL 21 9 0 21 Feb 2024
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 114 13 0 12 Oct 2023
ContraBAR: Contrastive Bayes-Adaptive Deep RL Era Choshen Aviv Tamar BDL OffRL 28 8 0 04 Jun 2023
Hierarchical Deep Counterfactual Regret Minimization Jiayu Chen Tian-Shing Lan Vaneet Aggarwal 47 3 0 27 May 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process Jiayu Chen Vaneet Aggarwal Tian-Shing Lan 39 3 0 01 Dec 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief Kaiyang Guo Yunfeng Shao Yanhui Geng OffRL 39 25 0 13 Oct 2022
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization Jihwan Jeong Xiaoyu Wang Michael Gimelfarb Hyunwoo J. Kim Baher Abdulhai Scott Sanner OffRL 99 11 0 07 Oct 2022
Offline RL Policies Should be Trained to be Adaptive Dibya Ghosh Anurag Ajay Pulkit Agrawal Sergey Levine OffRL 54 46 0 05 Jul 2022
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 87 228 0 30 Oct 2021
Revisiting Design Choices in Offline Model-Based Reinforcement Learning Cong Lu Philip J. Ball Jack Parker-Holder Michael A. Osborne Stephen J. Roberts OffRL 40 54 0 08 Oct 2021
Model-Based Offline Planning with Trajectory Pruning Xianyuan Zhan Xiangyu Zhu Haoran Xu OffRL 65 36 0 16 May 2021
Learning and Planning in Complex Action Spaces Thomas Hubert Julian Schrittwieser Ioannis Antonoglou M. Barekatain Simon Schmitt David Silver 44 78 0 13 Apr 2021
Online and Offline Reinforcement Learning by Planning with a Learned Model Julian Schrittwieser Thomas Hubert Amol Mandhane M. Barekatain Ioannis Antonoglou David Silver OffRL 53 114 0 13 Apr 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 261 425 0 16 Feb 2021
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 41 65 0 08 Nov 2020
Bayes-Adaptive Deep Model-Based Policy Optimisation Tai Hoang Ngo Anh Vien BDL 31 1 0 29 Oct 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 40 152 0 12 Aug 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 84 1,780 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 56 759 0 27 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 59 662 0 12 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 471 1,994 0 04 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 169 1,338 0 15 Apr 2020
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 53 675 0 26 Nov 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 71 1,044 0 03 Jun 2019
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 45 317 0 28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 180 8,236 0 04 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 87 1,755 0 05 Dec 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 458 5,748 0 05 Dec 2016
Monte Carlo Bayesian Reinforcement Learning Yi Wang K. Won David Hsu Wee Sun Lee OffRL 59 45 0 27 Jun 2012
A Bayesian Sampling Approach to Exploration in Reinforcement Learning J. Asmuth Lihong Li Michael L. Littman A. Nouri David Wingate BDL 62 189 0 09 May 2012
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning Jonathan Sorg Satinder Singh Richard L. Lewis OffRL 60 69 0 15 Mar 2012