[IROS 2024] Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. [CoRL 2024] OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning

LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars in MuJoCo

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Official code for "RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control"

contains code and documentation for the Qualcomm tutorial sessions

Body Transformer: Leveraging Robot Embodiment for Policy Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

A curated list of reinforcement learning with human feedback resources (continually updated)

LLM101n: Let's build a Storyteller

Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.

Simple single-file baselines for Q-Learning in pure-GPU setting

Deep memory and sequence models in JAX

Bringing Characters to Life with Computer Brains in Unity

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

A library for human kinematic motion and numerical optimization solvers to apply human motion

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

AI Robotics tutorials for hobbyists

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Summaries of courses in the AI Master programme at UvA

[ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation

Learning Optimal Policies Through Contact in Differentiable Simulation

Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.