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DeepLoco: Dynamic Locomotion Skills Using Hierarchical Deep Reinforcement Learning Transactions on Graphics (Proc. ACM SIGGRAPH 2017) Xue Bin Peng (1) Glen Berseth (1) KangKang Yin (2) Michiel van de Panne (1) (1)University of British Columbia (2)National University of Singapore Learning physics-based locomotion skills is a difficult problem, leading to solutions that typically exploit prior knowl
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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