Reinforcement learning algorithms
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Updated
May 19, 2024 - C++
Reinforcement learning algorithms
Simple Gridworld Gymnasium Environment
C++ wrappers of OpenAI-Gym environments
Connect 4 (X) Environment + GYM + PyGame GUI
Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
An easy-to-use and modular Python library for the Job Shop Scheduling Problem (JSSP)
Python Implementation of the RoboCup Keepaway suitable for Deep Reinforcement Learning.
Gym environment for building simulation and control using reinforcement learning
Rust and Python Ethereum Agent Based Modelling Library
NB-IoT access network simulator with Gymnasium interface for reinforcement learning experimentation
A tool that simplifies training RL agents for cloud resource management by bridging CloudSim Plus with Gymnasium
AI4U is a plugin that allows you use the Godot Game Engine to specify agents with reinforcement learning. Non-Player Characters (NPCs) of games can be designed using ready-made components.
Base of CraftGround, ⚡⚡ Lightning-Fast Minecraft Reinforcement Learning environment based on fabric
A ScalaPy Facade for OpenAI Gym!
Collection of Reinforcement Learning models for training in the VizDoom and CartPole environments. Developed by Group 2 for the University of Bath's CM50270 module, exploring advanced strategies for models navigating complex situations.
Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
An open-source wildfire simulator written in Python and meant to be used to train reinforcement learning (RL) agents.
Reinforcement learning environments for process control applications.
A Gymnasium-based interface for continuous control using MELCOR.
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