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.

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…

DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements in sample efficiency and asymptotic performance across diver…

ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)

We write your reusable computer vision tools. 💜

Official Implementation of the ICLR 2024 spotlight paper: Universal Humanoid Motion Representations for Physics-Based Control

Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

Repository for our paper: FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning, Proceedings of the 12th International Conference on Learning Representations (ICLR)

(Crafter NetHack) in JAX. ICML 2024 Spotlight.