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05/26/2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Training multiple agents to coordinate is an important problem with appl...
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12/14/2021
Learning to Guide and to Be Guided in the Architect-Builder Problem
We are interested in interactive agents that learn to coordinate, namely...
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10/07/2020
Regularized Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) aims to facilitate a learner's abil...
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06/23/2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Adversarial imitation learning alternates between learning a discriminat...
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02/24/2020
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
Multi-agent adversarial inverse reinforcement learning (MA-AIRL) is a re...
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08/06/2019
