HGARL lets heterogeneous RL agents share action choices and model parameters, claiming large speed-ups on Atari, though the reported statistics use the best of three rules per game.
Shared experience actor-critic for multi-agent reinforcement learning
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Group-Agent Reinforcement Learning with Heterogeneous Agents
HGARL lets heterogeneous RL agents share action choices and model parameters, claiming large speed-ups on Atari, though the reported statistics use the best of three rules per game.