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)
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Scalable, event-driven, deep-learning-friendly backtesting library
Gibson Environments: Real-World Perception for Embodied Agents
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
An OpenAI gym wrapper for CARLA simulator
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
Maze Applied Reinforcement Learning Framework
Trading Environment(OpenAI Gym) + PPO(TensorForce)
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
Workbench for practical machine learning in Ruby.
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).