On the role of planning in model-based deep reinforcement learning

On the role of planning in model-based deep reinforcement learning

8 November 2020

Jessica B. Hamrick

Feryal M. P. Behbahani

Sims Witherspoon

Thomas W. Anthony

Petar Velickovic

Papers citing "On the role of planning in model-based deep reinforcement learning"

16 / 16 papers shown

Title
Trust-Region Twisted Policy Improvement Joery A. de Vries Jinke He Yaniv Oren M. Spaan OffRL LRM 30 0 0 08 Apr 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 54 0 0 25 Mar 2025
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 92 270 0 09 Jan 2025
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
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 31 9 0 29 May 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 31 17 0 08 Feb 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 26 4 0 24 Jan 2023
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 21 36 0 22 Aug 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation Maximilian Igl Daewoo Kim Alex Kuefler Paul Mougin Punit Shah K. Shiarlis Drago Anguelov Mark Palatucci Brandyn White Shimon Whiteson 35 64 0 06 May 2022
Inferring perceptual decision making parameters from behavior in production and reproduction tasks Nils Neupärtl Constantin Rothkopf 14 1 0 31 Dec 2021
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 32 23 0 11 Oct 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 22 46 0 20 Apr 2021
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 27 9 0 26 Jun 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017