Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS)
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Updated
Jul 25, 2023 - Python
Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS)
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills (SCA 2020)
A memory-efficient, realistic, real-time controllable locomotion generator.
Implementation of the Belief State Encoder / Decoder in the new breakthrough robotics paper from ETH Zürich
Official codebase for PRELUDE (Perceptive Locomotion Under Dynamic Environments)
Official Repository for The Report, A Trajectory-based Reinforcement Learning Approach for Autonomous Locomotion of a Rat Robot
IsaacLab to Mujoco GO2 deploy, IsaacLab to Real world GO2 deploy
NeuroWalker is a bio-inspired locomotion control system for a six legged robot
Isaaclab based Parkour locomotion
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