Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Mastering Diverse Domains through World Models

Vectorization techniques for fast population-based training.

Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

RL Environments in JAX 🌍

[AutoML'22] Bayesian Generational Population-based Training (BG-PBT)

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

High throughput synchronous and asynchronous reinforcement learning

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.

DAC4RL track of DAC4AutoML competition at AutoML Conf

LaTeX template for an Oxford University thesis

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

Monte Carlo tree search in JAX

A curated list of awesome 3d generation papers

Accelerated Quality-Diversity

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

This is the official implementation of Multi-Agent PPO.

A library for distributed ML training with PyTorch

Generic implementation of AlphaZero

The implementation of DvD-TD3.

Reinforcement learning library in JAX.

Paired Open-Ended Trailblazer (POET) and Enhanced POET

A continuous action space version of A3C LSTM in pytorch plus A3G design

MuZero

A suite of test scenarios for multi-agent reinforcement learning.