Stars
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
OpenAI's Gym written in pure Rust for blazingly fast performance
Tools for accelerating safe exploration research.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots
An educational resource to help anyone learn deep reinforcement learning.
A simple, secure and modern file encryption tool (and Rust library) with small explicit keys, no config options, and UNIX-style composability.
A terminal ASCII media player. View images, gifs, videos, webcam, YouTube, etc.. directly in the terminal as ASCII art.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
# CS295 Reinforcement Learning Mini Project
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Supported highly optimized and flexible genetic algorithm package for python3.8+