Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
- ai
- deep-reinforcement-learning
- wpa-psk
- handshakes
StarCraft II Learning Environment
- reinforcement-learning
- machine-learning
- starcraft-ii
- starcraft-ii-replays
PyTorch implementations of deep reinforcement learning algorithms and environments
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
- games
- reinforcement-learning
- multiagent
- cpp
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A JavaScript deep learning and reinforcement learning library.
- deep-learning
- self-driving-car
- reinforcement-learning
- javascript
Program learning to play Flappy Bird by machine learning (Neuroevolution)
- neuroevolution
- machine-learning
- flappybird
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
- reinforcement-learning
- deep-reinforcement-learning
- game-ai
- poker
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
- api
- gymnasium
- multi-agent-reinforcement-learning
- reinforcement-learning
A collection of environments for autonomous driving and tactical decision-making tasks
- reinforcement-learning
- autonomous-driving
- gymnasium-environment
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning
Reinforcement Learning environments based on the 1993 game Doom :godmode:
- deep-learning
- reinforcement-learning
- python
- vizdoom
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
- reinforcement-learning
- python
- deep-learning
- gym
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments