Zeavan

Deep Reinforcement Learning

代表作品 / 项目

StarCraft⭐ 0 Implementations of QMIX, VDN and COMA on SMAC, corresponding papers are "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning", "Value-Decomposition Networks For Cooperative Multi-Agent Learning", and "Counterfactual Multi-Agent Policy Gradients".
MaCA⭐ 0
LAG⭐ 0An environment based on JSBSIM aimed at one-to-one close air combat.
image_hosting⭐ 1

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