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Learned Belief Search: Efficiently Improving Policies in Partially
  Observable Settings

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

16 June 2021
Hengyuan Hu
Adam Lerer
Noam Brown
Jakob N. Foerster
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Papers citing "Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings"

5 / 5 papers shown
Title
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement
  Learning
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Zun Li
Michael P. Wellman
42
1
0
30 Apr 2024
Human-AI Coordination via Human-Regularized Search and Learning
Human-AI Coordination via Human-Regularized Search and Learning
Hengyuan Hu
David J. Wu
Adam Lerer
Jakob N. Foerster
Noam Brown
24
7
0
11 Oct 2022
Learning Robust Real-Time Cultural Transmission without Human Data
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
46
11
0
01 Mar 2022
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
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
27
52
0
14 Dec 2021
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
136
218
0
06 Mar 2020
1