OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
A customisable 3D platform for agent-based AI research
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
- tensorflow
- pytorch
- keras
- gobang
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
- reinforcement-learning-algorithms
- reinforcement-learning
- machine-learning
- gym
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
- reinforcement-learning
- multiagent-reinforcement-learning
- self-play
- imitation-learning
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
- ai
- control
- decision-making
- distributed-computing
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
- deep-reinforcement-learning
- pytorch
- simple
- deep-learning
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
- rl
- reinforcement-learning
- stable-baselines
- openai
MuZero implementation
- muzero
- reinforcement-learning
- alphazero
- pytorch
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning
Reinforcement Learning environments based on the 1993 game Doom :godmode:
- deep-learning
- reinforcement-learning
- python
- vizdoom
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
- gym
- pybullet
- reinforcement-learning
- control
Build RL environments for any domain from real cases that Browser Use agents mine from the web