Environnement Gym de flappy Bird
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Updated
Aug 2, 2019 - Python
Environnement Gym de flappy Bird
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.
policy gradient for pong
a multiplayer clone of the classic Snake game as an OpenAI Gym environment
A project that attempts to train a bot to complete the custom gym environment `gym-platformer` game.
Mountain Car is a Gym environment. I used this environment to train my model using Q-Learning which is a reinforcement learning technic.
A Maze environment for openai gym using recursive division to generate mazes.
OpenAI gym environment for the Amazing Ball System used in CS454/654: Embedded Systems Development (Spring 2022).
Custom reinforcement learning implementations
The game of Yaniv implemented as a Gymnasium environment to be used for Reinforcement Learning.
An RL environment and a Monte Carlo evaluation framework for Basel disclosure optimization
Gym Armed Bandits is an environment bundle for OpenAI Gym
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
Gym environments for logistics tasks that can be described as "Move something from A to B"
Implementation of reinforcement learning algorithms. Concise solutions of gym games.
OpenAI Gym reinforcement learning examples. FrozenLake-v0 and Taxi-v2
training project classic snake game
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