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05/22/2023
Neural Functional Transformers
The recent success of neural networks as implicit representation of data...
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04/25/2023
The Update Equivalence Framework for Decision-Time Planning
The process of revising (or constructing) a policy immediately prior to ...
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03/19/2023
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
By enabling agents to communicate, recent cooperative multi-agent reinfo...
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02/27/2023
Permutation Equivariant Neural Functionals
This work studies the design of neural networks that can process the wei...
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01/22/2023
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
In their seminal work, Nayyar et al. (2013) showed that imperfect inform...
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10/24/2022
Perfectly Secure Steganography Using Minimum Entropy Coupling
Steganography is the practice of encoding secret information into innocu...
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06/12/2022
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
Algorithms designed for single-agent reinforcement learning (RL) general...
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01/29/2022
Learning to Coordinate with Humans using Action Features
An unaddressed challenge in human-AI coordination is to enable AI agents...
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07/17/2021
Implicit Communication as Minimum Entropy Coupling
In many common-payoff games, achieving good performance requires players...
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01/11/2021
Solving Common-Payoff Games with Approximate Policy Iteration
For artificially intelligent learning systems to have widespread applica...
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07/05/2020
Selective Dyna-style Planning Under Limited Model Capacity
In model-based reinforcement learning, planning with an imperfect model ...
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06/25/2019