A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Updated
May 16, 2024 - Python
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
A work-in-progress World of Warcraft Reinforcement Learning tool capable of finding optimal control policies for mythic+ speedruns.
Optimize traffic flow at intersections with a Deep Q-Learning agent. Utilizes reinforcement learning to control traffic signals efficiently.
Open-source simulator for autonomous driving research.
A reinforcement learning package for Julia
📦 RL for mobile service robots navigation
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 training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Trax — Deep Learning with Clear Code and Speed
deeprecsys is a python package that simulates a Reinforcement Learning environment, using realistic Recommender System data. It includes a set of tools and agents.
A V2G Simulation Environment for large scale EV charging optimization
Power optimization for IoT devices using Deep Reinforcement Learning
(Yet another) Reinforcement Learning repository that aims to implement and benchmark various RL algorithms
This repository hosts Jupyter notebooks showcasing the training of Atari games using a variety of Deep Reinforcement Learning (RL) algorithms such as Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Deep Q-Networks (DQN), Advantage Actor-Critic (A2C), and more.
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.
OmniSafe is an infrastructural framework for accelerating SafeRL research.
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