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
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
- c-plus-plus
- machine-learning
- online-learning
- contextual-bandits
Unified framework for robot learning with multi-physics/renderer support
- robot-learning
- robotics
- omniverse-kit-extension
- isaac-sim
A customisable 3D platform for agent-based AI research
Massively Parallel Deep Reinforcement Learning. 🔥
- pytorch
- reinforcement-learning
- ppo
- sac
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
- reinforcement-learning-algorithms
- reinforcement-learning
- machine-learning
- gym
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
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
- reinforcement-learning
- multiagent-reinforcement-learning
- self-play
- imitation-learning
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
- reinforcement-learning
- deep-reinforcement-learning
- game-ai
- poker
The next generation deep reinforcement learning tookit
- reinforcement-learning
- transfer-learning
- deep-learning
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
- isaaclab
- mujoco
- mujoco-warp
- reinforcement-learning
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- ai
- computer-vision
- robotics
- simulator
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
- reinforcement-learning
- tensorflow
- contextual-bandits
- bandits
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
- rl
- reinforcement-learning
- stable-baselines
- openai
A PyTorch Library for Meta-learning Research
- pytorch
- maml
- meta-learning
- learning2learn
RL training environments for Microduck (mjlab)
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Simple and easily configurable grid world environments for reinforcement learning
- gridworld-environment
- gymnasium
- gymnasium-environment
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
- character-animation
- digital-human
- humanoid
- humanoid-robots
A platform for reproducible world model research and evaluation
- deep-learning
- pytorch
- jepa
- world-model