RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC,A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Personal repository with experimental code

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.

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.

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

AI agents for the boardgame Splendor

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains Over 35 Models!

[IEEE RA-L 2024] GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning

Implementation of the Advantage Actor-Critic (A2C) algorithm for training an agent to balance a pole in the CartPole environment using PyTorch and OpenAI Gym.

A curated list of reinforcement learning with human feedback resources (continually updated)

An offline deep reinforcement learning library

Python library for Reinforcement Learning.

Intelligent Social Systems and Swarm Robotics Lab (IS3R)

Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch

Reinforcement learning library for Keras and PyTorch.

Code for the paper "Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning"

Adaptive social controller algorithms with Deep Reinforcement Learning.

A simple self-playing snake game.

📦 RL for mobile service robots navigation

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.