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.
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
- ai
- deep-reinforcement-learning
- wpa-psk
- handshakes
Unified framework for robot learning with multi-physics/renderer support
- robot-learning
- robotics
- omniverse-kit-extension
- isaac-sim
StarCraft II Learning Environment
- reinforcement-learning
- machine-learning
- starcraft-ii
- starcraft-ii-replays
Playing Pokemon Red with Reinforcement Learning
A customisable 3D platform for agent-based AI research
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
- tensorlayer
- deep-learning
- tensorflow
- neural-network
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
- deep-learning
- deep-reinforcement-learning
- game
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
Deep Reinforcement Learning for Keras.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Translated[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | DouDizhu AI (斗地主, Dou Dizhu, "Fight the Landlord")
- reinforcement-learning
- doudizhu
- game-ai
- poker
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
- policy-gradient
- pytorch
- actor-critic-algorithm
- alphago
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
- tensorflow
- pytorch
- keras
- gobang
Massively Parallel Deep Reinforcement Learning. 🔥
- pytorch
- reinforcement-learning
- ppo
- sac
A JavaScript deep learning and reinforcement learning library.
- deep-learning
- self-driving-car
- reinforcement-learning
- javascript