The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
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
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
- games
- reinforcement-learning
- multiagent
- cpp
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
- policy-gradient
- pytorch
- actor-critic-algorithm
- alphago
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
- reinforcement-learning-algorithms
- reinforcement-learning
- machine-learning
- gym
Program learning to play Flappy Bird by machine learning (Neuroevolution)
- neuroevolution
- machine-learning
- flappybird
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
- pytorch
- reinforcement-learning
- deep-learning
- deep-reinforcement-learning
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
- ai
- control
- decision-making
- distributed-computing
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
- isaaclab
- mujoco
- mujoco-warp
- reinforcement-learning
A collection of environments for autonomous driving and tactical decision-making tasks
- reinforcement-learning
- autonomous-driving
- gymnasium-environment
Tensorforce: a TensorFlow library for applied reinforcement learning
- reinforcement-learning
- tensorflow
- deep-reinforcement-learning
- tensorflow-library
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
- deep-reinforcement-learning
- pytorch
- simple
- deep-learning
Collection of reinforcement learning algorithms
RL training environments for Microduck (mjlab)
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
- llm-agents
- llm-training
- reinforcement-learning
- large-language-models
A lightweight suite of motion imitation methods for training controllers.
- animation
- reinforcement-learning
- robotics
- motion-imitation
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
- pytorch-implmention
- pytorch
- pytorch-tutorial
- proximal-policy-optimization
A platform for reproducible world model research and evaluation
- deep-learning
- pytorch
- jepa
- world-model
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
- pybullet
- crazyflie
- robotics
- reinforcement-learning