Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
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.
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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
Unified framework for robot learning with multi-physics/renderer support
- robot-learning
- robotics
- omniverse-kit-extension
- isaac-sim
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
- deep-learning
- deep-reinforcement-learning
- game
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
Massively Parallel Deep Reinforcement Learning. 🔥
- pytorch
- reinforcement-learning
- ppo
- sac
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 standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
- api
- gymnasium
- multi-agent-reinforcement-learning
- reinforcement-learning
Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark
- reinforcement-learning
- robotics
- robot-manipulation
- embodied-ai
Modularized Implementation of Deep RL Algorithms in PyTorch
- pytorch
- deep-reinforcement-learning
- dqn
- dueling-network-architecture
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
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
- deep-reinforcement-learning
- pytorch
- simple
- deep-learning
Massively parallel rigidbody physics simulation on accelerator hardware.
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- ai
- computer-vision
- robotics
- simulator