Terrain-Adaptive Locomotion Skills Using Deep Reinforcement Learning
Terrain-Adaptive Locomotion Skills Using Deep Reinforcement Learning Transactions on Graphics (Proc. ACM SIGGRAPH 2016) (to appear) Xue Bin Peng   Glen Berseth   Michiel van de Panne University of British Columbia Reinforcement learning offers a promising methodology for developing skills for simulated characters, but typically requires working with sparse hand-crafted features. Building on re
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