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12/22/2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
This project leverages advances in multi-agent reinforcement learning (M...
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09/28/2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Equilibrium selection in multi-agent games refers to the problem of sele...
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08/02/2022
Deep Reinforcement Learning for Multi-Agent Interaction
The development of autonomous agents which can interact with other agent...
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02/15/2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Sharing parameters in multi-agent deep reinforcement learning has played...
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06/16/2020
Local Information Opponent Modelling Using Variational Autoencoders
Modelling the behaviours of other agents (opponents) is essential for un...
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06/14/2020
Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms
Multi-agent deep reinforcement learning (MARL) suffers from a lack of co...
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01/29/2020
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems
Multi-agent systems exhibit complex behaviors that emanate from the inte...
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06/11/2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Recent developments in deep reinforcement learning are concerned with cr...
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07/05/2018
