FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
47,133 repositories indexed
1–24 of 24 · Most stars
FinRL®: Financial Reinforcement Learning. 🔥
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Clean PyTorch implementations of imitation and reward learning algorithms
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
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
Scalable, event-driven, deep-learning-friendly backtesting library
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Environment for reinforcement-learning algorithmic trading models
The repository host gives no description.
An OpenAI gym wrapper for CARLA simulator
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Trading Environment(OpenAI Gym) + PPO(TensorForce)
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env