Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Train a tic-tac-toe agent using reinforcement learning.

Tabular methods for reinforcement learning

SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis

reinforcement learning for power grid optimal operations and maintenance

A-List of all the Assignment done in Artificial Intelligence Course @IIIT-D

In this all Projects dealing with reinforcement learning wil be uploaded

Autonomous Navigation of MAVs using Reinforcement Learning algorithms

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases del módulo introductorio de Reinforcement Learning (Aprendizaje por Refuerzo)

Genetic Based Selection Forced Reinforcement Learning

Path Planning with Reinforcement Learning algorithms in an unknown environment

Foundations Of Intelligent Learning Agents (FILA) Assignments

Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences

Solving Markov Decision Process using Value Iteration and Policy Iteration, SARSA, Expected SARSA and Q-Learning

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.

Programming assignments completed for my Reinforcement Learning course: Topics include Bandit Algorithms, Dynamic Programming, policy iteration, Monte-Carlo methods, SARSA, Q-Learning, Dyna-Q/Dyna-Q+, gradient control methods, state aggregation methods, and Deep Q-Learning Networks (DQNs).

Various reinforcement learning algorithms implemented using Python. This repo also contains a DQN approach to solve credit-card anomaly detection use-case.

This is the repository of the Final Semester Undergraduation Project on Reinforcement Learning (Inverted Pendulum problem) done by Nikhil Podila and Savinay Nagendra. The project was performed under the guidance of Professor Koshy George at the Center of Intelligent Systems in PES Institute of Technology, Bangalore, India