Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

16 June 2021

Papers citing "Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings"

8 / 8 papers shown

Title
AssistanceZero: Scalably Solving Assistance Games Cassidy Laidlaw Eli Bronstein Timothy Guo Dylan Feng Lukas Berglund Justin Svegliato Stuart J. Russell Anca Dragan 82 1 0 09 Apr 2025
K-level Reasoning for Zero-Shot Coordination in Hanabi Brandon Cui Hengyuan Hu Luis Pineda Jakob N. Foerster OffRL LRM 86 36 0 14 Jul 2022
Generalized Beliefs for Cooperative AI Darius Muglich L. Zintgraf Christian Schroeder de Witt Shimon Whiteson Jakob N. Foerster 85 7 0 26 Jun 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 117 11 0 01 Mar 2022
Modeling Strong and Human-Like Gameplay with KL-Regularized Search Athul Paul Jacob David J. Wu Gabriele Farina Adam Lerer Hengyuan Hu A. Bakhtin Jacob Andreas Noam Brown 60 54 0 14 Dec 2021
Off-Belief Learning Hengyuan Hu Adam Lerer Brandon Cui David J. Wu Luis Pineda Noam Brown Jakob N. Foerster OffRL 63 73 0 06 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 200 1,288 0 02 Mar 2021
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 261 913 0 06 Jan 2017