Slienteagle-wyb

coding-interview-university

A complete computer science study plan to become a software engineer.

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

s4

Structured state space sequence models

awesome-deep-rl

For deep RL and the future of AI.

rlax

robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

awesome-rl-envs

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

get-started-with-JAX

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 as the content I found useful while learning about the JAX ecosystem.

gymnax

RL Environments in JAX 🌍

Gymnasium-Robotics

A collection of robotics simulation environments for reinforcement learning

skrl

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

learning-to-fly

Training transferable end-to-end quadrotor control policies on a laptop in 18 seconds.

dreamerv3-torch

Implementation of Dreamer v3 in pytorch.

Diff4RLSurvey

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

tdmpc2

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

Minimum-Snap

使用C++对Minimum Snap算法进行了实现，实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法

OSRL

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

rl_with_resets

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

hiro_pytorch

Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)

jax-rl

JAX implementations of core Deep RL algorithms

popjaxrl

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

high_replay_ratio_continuous_control

Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"

RPG

Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization

gym_art

Additional environments compatible with OpenAI gym

tcrl

jax-mppi

Model predictive path integral control in jax

ManiSkill2

This repo has moved to https://github.com/haosulab/ManiSkill