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Linux Kernel Driver for the Xbox/ Xbox 360/ Xbox One Controllers
Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
Flexible, reusable reinforcement learning (Q learning) implementation in Rust
A fast, safe and easy to use reinforcement learning framework in Rust.
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
OpenAI's Gym written in pure Rust for blazingly fast performance
TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.
Distributed Deep Reinforcement Learning framework implemented in the Chapel Programming Language
A Collection for Distributed Reinforcement Learning Papers
Simplifying reinforcement learning for complex game environments
⚡ Flashbax: Accelerated Replay Buffers in JAX
Massively Parallel Deep Reinforcement Learning. 🔥
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
JAX implementations of various deep reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Really Fast End-to-End Jax RL Implementations
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
General purpose framework for deep reinforcement learning
A modern model graph visualizer and debugger
Educational implementation of "A Very Gentle Introduction to Multiparty Session Types".
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
A toolkit for enforcing logical specifications on neural networks