DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

8 Apr 2018Xue Bin PengPieter AbbeelSergey LevineMichiel van de Panne

A longstanding goal in character animation is to combine data-driven specification of behavior with a system that can execute a similar behavior in a physical simulation, thus enabling realistic responses to perturbations and environmental variation. We show that well-known reinforcement learning (RL) methods can be adapted to learn robust control policies capable of imitating a broad range of example motion clips, while also learning complex recoveries, adapting to changes in morphology, and accomplishing user-specified goals... (read more)

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