An offline deep reinforcement learning library
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Updated
Nov 23, 2024 - Python
An offline deep reinforcement learning library
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains Over 35 Models!
This project is a Double Deep Q learning Agent that learns to play the dice game Yahtzee
FinRL: Financial Reinforcement Learning. 🔥
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Implementation of Important Algorithms in PyTorch from "Reinforcement Learning an Introduction" by Sutton and Barto
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Open-source simulator for autonomous driving research.
A two-player game where deep Q-learning agents collaborate to find optimal solutions to a custom version of the graph coloring problem, featuring α-Rank for pair ranking and evaluation.
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
Reinforcement Learning Algorithms and Playground
Deep Learning for Computer Vision: A collection of 6 end-to-end applied AI projects.
A high-performance, multi-mission Autonomous Air Vehicle (AAV) platform integrating advanced components like the Pixhawk Orange Cube+ and Intel RealSense cameras. This repository contains design files, firmware, software, and documentation for both the original FURY and the enhanced FuryVision AAV variants.
Code implementation and note of deep reinforcement learning. DQN、DDPG、D3QN、MADDPG、PPO
This repository contains practical recommendations and models to improve the performance of your AWS DeepRacer on physical racetracks.
Intelligent Social Systems and Swarm Robotics Lab (IS3R)
Godpeny Github Page :)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
This repository contains the source code for my personal blog, where I share my thoughts and experiences on programming, mathematics, and technology. The blog covers a wide range of topics related to computer science, including machine learning and software development.
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