Temporal Difference methods - A simple implementation of SARSA algorithm applied to OpenAI gym's "CliffWalking" environment.
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Updated
Jul 10, 2019 - Jupyter Notebook
Temporal Difference methods - A simple implementation of SARSA algorithm applied to OpenAI gym's "CliffWalking" environment.
Solutions for OpenAI Gym RL environments
Applying PBT optimization technique to different domains
OpenAI_gym_Taxi-v2 solved with reinforcement learning - Expected Sarsa
Pac-Man RL Agent
This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.
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.
The implementation of some reinforcement learning techniques like (Q-learning, SARSA, DQN) in two assignments and one big project.
人工智能课程的实验
Two reinforcement learning algorithms (Standard SARSA Control and Tabular Dyna-Q) where an agent learns to traverse a randomly generated maze
University of Tehran-Reinforcement Learning Fall 2022
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.
Reinforcement learning algorithm implements.
Reinforcement learning system using the SARSA-RL Algorithm to learn to play a simple physics game, referred to as the The Acrobat Game
Implementation of certain crucial algorithms in the field of reinforcement learning.
Using the SARSA to beat the environment, Windy Gridworld. Implement in C++.
Implementation of SARSA algorithm for path planning
Open Gym Taxi v3 environment solved using sarsamax algorithm(Q-Learning)
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