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01/25/2023
Imitating Human Behaviour with Diffusion Models
Diffusion models have emerged as powerful generative models in the text-...
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03/22/2021
Regularized Softmax Deep Multi-Agent Q-Learning
Tackling overestimation in Q-learning is an important problem that has b...
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01/22/2021
Estimating α-Rank by Maximizing Information Gain
Game theory has been increasingly applied in settings where the game is ...
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06/18/2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation
QMIX is a popular Q-learning algorithm for cooperative MARL in the centr...
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03/19/2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
In many real-world settings, a team of agents must coordinate its behavi...
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02/26/2020
Optimistic Exploration even with a Pessimistic Initialisation
Optimistic initialisation is an effective strategy for efficient explora...
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10/16/2019
MAVEN: Multi-Agent Variational Exploration
Centralised training with decentralised execution is an important settin...
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06/05/2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
This paper investigates the use of intrinsic reward to guide exploration...
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02/11/2019
The StarCraft Multi-Agent Challenge
In the last few years, deep multi-agent reinforcement learning (RL) has ...
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03/30/2018
