Highlights
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The Student Cluster Guide, tutorial 2 of ETH's Digital Humans 2024 course.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control
Learning Hindsight Experience Replay (HER) with JAX
oxkitsune / mjlab
Forked from mujocolab/mjlabIsaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.
Interactive demo and teaching resource for the introduction to RL lecture for ETH Zurich course: Computational Models of Motion 2026
Goal-conditioned reinforcement learning like 🔥
[CoRL '23] Dexterous piano playing with deep reinforcement learning.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Integrating a custom robot (ANYmal C) with mjlab's velocity task
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
Homeworks of "Robot Learning: From Fundamentals to Foundation Models" (Spring 2026)