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MCP: Multiplicative Compositional Policies
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies
Dynamic Locomotion Across Variable Terrain using Deep Reinforcement Learning
Mustafa Mukadam - Structured Policies for Reactive Motion Generation
Improving Sampling-based Motion Control
Neural Probabilistic Motor Primitives
MIG 2019: Self-Imitation Learning of Locomotion Movements through Termination Curriculum
AWR: Advantage-Weighted Regression
Arm RL
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples (ICRA 2022)
SIGGRAPH 2021: Adversarial Motion Priors (main video)
This Adorable Baby T-Rex AI Learned To Dribble 🦖
