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).
Lunar Landing using DQN and DDQN
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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
Compare q-learning, SARSA and Expected SARSA to solve AI gym's Taxi-v3 environment
Chess AI bot using the minimax algorithm, building upon gym-chess. Used Stockfish for the Evaluation Function
Gym environments for logistics tasks that can be described as "Move something from A to B"
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