Environnement Gym de flappy Bird
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Updated
Aug 2, 2019 - Python
Environnement Gym de flappy Bird
Semester project for the AI Applications class of the MSc in Artificial Intelligence
Research internship during the 5th semester of my B.Sc CBT degree @ TUM CS
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
This repository is intended for developing reinforcement learning algorithms.
Monorepo for our CV&RL course project: self parking
Urban block renewal maximizing outdoor thermal comfort using deep reinforcement learning methods.
A graphical and an interesting Othello (Reversi) chess game environment ideal for Reinforcement Learning
A set of scripts that help me learning recent Deep Reinforcement Learning algorithms with Q-learning
A repo with a MultiProcessing class for Gym Reinforcement Learning Environments
Code for turning the FrozenLake env into its deterministic version
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Gym Armed Bandits is an environment bundle for OpenAI Gym
This repository contains code for simulating coupled motion of rigid ball and fluid in 2D and this is used as an environment in Gym to train a controller to balance the ball in air.
A gym environment for temporal tasks
WalkYTo-rl-gym Environment. Walk Yourself, Toddler! Toddlers can learn by deep reinforcement learning now.
Deep Reinforcement Learning Agents in Pytorch in a modular framework
The gym-cityflow environment is a multiagent domain featuring large discrete state and action spaces. An environment can be created from any set of cityflow config files
Lunar Exploration and Missile target Optimization
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