OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
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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)
- wandb
- reinforcement-learning
- pytorch
- python
This is an AI agent for Street Fighter II Champion Edition.
GTP engine and self-play learning in Go
A collection of environments for autonomous driving and tactical decision-making tasks
- reinforcement-learning
- autonomous-driving
- gymnasium-environment
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
An Open Flexible Quadrotor Simulator
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
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 ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-learning
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Communicating with godot engine through shared memory