Multi-agent Reinforcement Learning

Optimal Task Generalisation in Cooperative Multi-Agent Reinforcement Learning
While task generalisation is widely studied in the context of single-agent reinforcement learning (RL), little research exists in the …
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The Challenge of Redundancy on Multi-agent Value Factorisation
In the field of cooperative multi-agent reinforcement learning (MARL), the standard paradigm is the use of centralised training and …
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Diverse Partner Creation with Partner Prediction for Robust K-Level Reasoning
In Multi-agent Reinforcement Learning (MARL) there has been a substantial move towards creating algorithms which can be trained to work …
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The Challenge of Redundancy on Multi-Agent Value Factorisation
Recently there has been great development in the field of multi-agent reinforcement learning (MARL). In the cooperative partially …
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