FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
Repository Index
70,234 visible repositories in the index
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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
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
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 clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
- tensorflow
- pytorch
- keras
- gobang
Mastering Diverse Domains through World Models
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
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
- pytorch
- reinforcement-learning
- deep-learning
- deep-reinforcement-learning
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
- reinforcement-learning
- multiagent-reinforcement-learning
- self-play
- imitation-learning
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
- alphazero
- mcts
- alphago-zero
- gomoku
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
- api
- gymnasium
- multi-agent-reinforcement-learning
- reinforcement-learning
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
- reinforcement-learning
- tensorflow
- contextual-bandits
- bandits
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus
- neural-network
- genome
- dino
- genetic-algorithm
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
- robotics
- robot-manipulation
- reinforcement-learning
- physics-simulation
[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
- llm-agents
- llm-training
- reinforcement-learning
- large-language-models
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
- pytorch-implmention
- pytorch
- pytorch-tutorial
- proximal-policy-optimization