Tabular methods for reinforcement learning
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Updated
Jul 3, 2020 - Python
Tabular methods for reinforcement learning
path planning using Q learning algorithm
Demonstration of Q-Learning and SARSA algorithms utilizing Python and OpenAI GYM
This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.
Applying PBT optimization technique to different domains
The following project concerns the development of an intelligent agent for the famous game produced by Nintendo Super Mario Bros. More in detail: the goal of this project was to design, implement and train an agent with the Q-learning reinforcement learning algorithm.
Pac-Man RL Agent
Implementation of SARSA algorithm for path planning
人工智能课程的实验
PacmanRL - Reinforcement Learning for Pacman (Q-Learning / SARSA)
Implementation of an agent capable of playing a simplified version of the blackjack game using SARSA algorithm.
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