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07/22/2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Robust reinforcement learning (RL) seeks to train policies that can perf...
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03/30/2023
Language Models can Solve Computer Tasks
Agents capable of carrying out general tasks on a computer can improve e...
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02/07/2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) requires agents to...
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01/05/2023
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games
Adversarial team games model multiplayer strategic interactions in which...
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10/05/2022
Game Theoretic Rating in N-player general-sum games with Equilibria
Rating strategies in a game is an important area of research in game the...
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09/16/2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
In temporal-difference reinforcement learning algorithms, variance in va...
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07/19/2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
Robust reinforcement learning (RL) considers the problem of learning pol...
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07/13/2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
In competitive two-agent environments, deep reinforcement learning (RL) ...
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06/30/2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
We introduce DeepNash, an autonomous agent capable of learning to play t...
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06/08/2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Recent techniques for approximating Nash equilibria in very large games ...
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01/19/2022
Anytime PSRO for Two-Player Zero-Sum Games
Policy space response oracles (PSRO) is a multi-agent reinforcement lear...
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12/06/2021
Target Entropy Annealing for Discrete Soft Actor-Critic
Soft Actor-Critic (SAC) is considered the state-of-the-art algorithm in ...
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10/28/2021
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates
Temporal-Difference (TD) learning methods, such as Q-Learning, have prov...
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10/20/2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games
Multi-agent reinforcement learning has been successfully applied to full...
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06/07/2021
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator
Machine learning algorithms often make decisions on behalf of agents wit...
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03/11/2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
Policy Space Response Oracles (PSRO) is a deep reinforcement learning al...
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02/08/2021
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
A* search is an informed search algorithm that uses a heuristic function...
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11/10/2020
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging
Two-photon excitation fluorescence (2PEF) allows imaging of tissue up to...
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06/15/2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Finding approximate Nash equilibria in zero-sum imperfect-information ga...
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12/10/2019
ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games
Much of recent success in multiagent reinforcement learning has been in ...
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06/09/2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
Dealing with sparse rewards is a longstanding challenge in reinforcement...
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05/18/2018