Multi-Agent Reinforcement Learning with Multi-Step Generative Models

29 Jan 2019Orr KrupnikIgor MordatchAviv Tamar

We consider model-based reinforcement learning (MBRL) in 2-agent, high-fidelity continuous control problems -- an important domain for robots interacting with other agents in the same workspace. For non-trivial dynamical systems, MBRL typically suffers from accumulating errors... (read more)

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