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Learning Task-Agnostic Action Spaces for Movement Optimization
We propose a novel method for exploring the dynamics of physically based...
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Self-Imitation Learning of Locomotion Movements through Termination Curriculum
Animation and machine learning research have shown great advancements in...
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PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Proximal Policy Optimization (PPO) is a highly popular model-free reinfo...
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Intelligent Middle-Level Game Control
We propose the concept of intelligent middle-level game control, which l...
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Amin Babadi
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