Accelerated minigrid environments with JAX
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Updated
Jun 8, 2024 - Python
Accelerated minigrid environments with JAX
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
算法 数学 科学。这是一个全网收藏夹; 一个备忘录; 一个To-Do List; 未来的技能点; 个人知识库; 也是一个算法工程师的网址导航.热爱生活, 不断探索.Have fun : )
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
A collection of MARL benchmarks based on TorchRL
This study explores using RL for CSTR control, assessing effectiveness vs. traditional controllers (PID, MPC). RL learns optimal behavior to maximize rewards, outperforming NMPC with exploration and lower computational load.
A rust reinforcement learning library
Library for Parallel Reinforcement Learning
[WIP] RL agent for the SuperTuxKart game.
An elegant PyTorch deep reinforcement learning library.
Pettingzoo env for the game SuperTuxKart using pystk.
📘 The MLOps stack component for experiment tracking
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Spiral's Machine Learning Library
Stateful implementations of OPE algorithms, designed for use in the development of offline RL models
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