EnnaSachdeva / Recurrent-Multiagent-Deep-Deterministic-Policy-Gradient-with-Difference-RewardsView on GitHub
Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single agent tasks. These methods have further been extended to multiagent domains in cooperative, competitive or mixed environments. This paper primarily focuses on multiagent cooperative settings which can be model…
☆53Mar 4, 2019Updated 7 years ago
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