lrl: Learn Reinforcement Learning - A package to help people learn basic planning and Reinforcement Learning
-
Updated
Jan 21, 2022 - Python
lrl: Learn Reinforcement Learning - A package to help people learn basic planning and Reinforcement Learning
HRL envs from Data efficient hierarchical reinforcement learning in Julia using Lyceum MuJoCo
A Comparison between state representation for DeepRL in Kirby Dream Land
건국대학교 컴퓨터공학부 오픈소스SW프로젝트2 육목 강화학습 프로젝트
A Small customizable game to try basic RL algorithms
Deep Q-Learning Network in pytorch.
Reinforcement learning implementation of 2v2 football
RL environment for the 2005 GBA game 'Hot Wheels Stunt Track Challenge'
My work in Reinforcement Learning
Classic Reinforcement Learning implementations for solving a custom Gridworld environment.
Physics-based simulation and Reinforcement Learning environments, using MuJoCo, in Rust.
Using Unity ML Agents to create an environment, where agents are able to choose when to act
Base of CraftGround, ⚡⚡ Lightning-Fast Minecraft Reinforcement Learning environment based on fabric
This is an basic paddle game with a main objective of resisting the ball from touching the ground. We are automating the game by training an AI model using Q Learning Algorithm from #Reinforcement #learning with Epsilon #Greedy Method. #viyogi #python #machinelearning #artificialintelligence #automation #game
A custom reinforcement learning environment for the Hot or Cold game. The agent navigates a 100x100 grid to find a randomly placed target while receiving rewards based on proximity and success.
Custom environments for K-Armed Bandit built using OpenAI's Gym
Add a description, image, and links to the reinforcement-learning-environments topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-environments topic, visit your repo's landing page and select "manage topics."