Machine learning library
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Updated
Jul 6, 2024 - Python
Machine learning library
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Originally from: https://github.com/kevinh42/gym2real_isaacgym
Accelerated minigrid environments with JAX
Spiral's Machine Learning Library
A collection of MARL benchmarks based on TorchRL
Stateful implementations of OPE algorithms, designed for use in the development of offline RL models
⚡ Flashbax: Accelerated Replay Buffers in JAX
📘 The MLOps stack component for experiment tracking
PyTorch Implementation of MOPO
Airfoil Design project with Reinforcement Learning
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
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