PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
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Unified framework for robot learning with multi-physics/renderer support
- robot-learning
- robotics
- omniverse-kit-extension
- isaac-sim
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
- tensorlayer
- deep-learning
- tensorflow
- neural-network
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
- policy-gradient
- pytorch
- actor-critic-algorithm
- alphago
Mastering Diverse Domains through World Models
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
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
- ai
- control
- decision-making
- distributed-computing
A fast and simple implementation of learning algorithms for robotics.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
- rl
- reinforcement-learning
- stable-baselines
- openai
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games
A lightweight suite of motion imitation methods for training controllers.
- animation
- reinforcement-learning
- robotics
- motion-imitation
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
- humanoid
- reinforcement-learning
- robotics
A replica of the AlphaZero methodology for deep reinforcement learning in Python
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
- imitation-learning
- reinforcement-learning
- robotics
- simulation
Clean PyTorch implementations of imitation and reward learning algorithms
- reward-learning
- inverse-reinforcement-learning
- imitation-learning
- gymnasium
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
- deep-learning
- machine-learning
- deep-reinforcement-learning
- mit
An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
TensorFlow implementation of Deep Reinforcement Learning papers
- tensorflow
- deep-reinforcement-learning
- dqn
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
- reinforcement-learning
- supervised-learning
- stock-data
- trading
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow