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
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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
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Reinforcement Learning environments based on the 1993 game Doom :godmode:
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
The original code from the DeepMind article + my tweaks
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
An Open Flexible Quadrotor Simulator
Scalable, event-driven, deep-learning-friendly backtesting library
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Maze Applied Reinforcement Learning Framework
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Communicating with godot engine through shared memory
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
The repository host gives no description.
Trading environnement for RL agents, backtesting and training.
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0