Repository Index

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

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

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

• c-plus-plus
• machine-learning
• online-learning
• contextual-bandits

StarCraft II Learning Environment

• reinforcement-learning
• machine-learning
• starcraft-ii
• starcraft-ii-replays

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

Massively Parallel Deep Reinforcement Learning. 🔥

• pytorch
• reinforcement-learning
• ppo
• sac

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

• reinforcement-learning
• multiagent-reinforcement-learning
• self-play
• imitation-learning

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

• reinforcement-learning
• parallel-processing
• cpp17
• pybind11

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

Gibson Environments: Real-World Perception for Embodied Agents

• computer-vision
• robotics
• simulator
• sim2real

A brain that learns from live experience. System 1 by default: perception, memory, plasticity and action. Optional System 2 for self-observation and slow corrections.

• machine-learning
• embodied-ai
• online-learning
• python

An OpenAI gym wrapper for CARLA simulator

• carla-simulator
• autonomous-driving
• deep-reinforcement-learning
• imitation-learning

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

• reinforcement-learning
• deep-learning
• pytorch
• pytorch-reinforcement-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

Whole-body motion tracking for the Unitree G1 in about 3 minutes on one GPU.

• humanoid-robotics
• lafan1
• mjlab
• motion-tracking

The repository host gives no description.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

• micropython
• neural-network
• multilayer-perceptron
• mlp

Whole-body motion tracking for the Unitree G1 in under 3 minutes on average on one GPU: return 0.82 with 0/40 clips failed, held from 2.74 min (mean of 15 seeds, range 2.21-3.61, fine checkpoints), 11.87 it/s (world model + Muon + overlapped CUDA streams, mjlab)

• humanoid
• robot-learning
• supermimic
• world-model

Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0

• aloha
• flow-matching
• icra2026
• jax

Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.