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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)
Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
Path Planning with Reinforcement Learning algorithms in an unknown environment
Solving Markov Decision Process using Value Iteration and Policy Iteration, SARSA, Expected SARSA and Q-Learning
Foundations Of Intelligent Learning Agents (FILA) Assignments
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
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).
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
Various reinforcement learning algorithms implemented using Python. This repo also contains a DQN approach to solve credit-card anomaly detection use-case.
Application of reinforcement learning to the management of traffic light intersection
Applied various Reinforcement Learning (RL) algorithms to determine the optimal policy for diverse Markov Decision Processes (MDPs) specified within the OpenAI Gym library
Reinforcement learning implementation using the game snake and apple based on Q-learning, SARSA, and simple Deep Q-learning algorithms
Escape the maze of reinforcement learning agents (without deep-learning)
Reinforcement learning project for CS 4033: Machine Learning
All the programming assignments done as a part of the AI course in IIIT Delhi
Implemented and visualized all kinds of machine learning algorithms by Python
I used this project to master c++. I just reimplemented monte carlo tree search agent on the game of hex with cpp.
Graduate and personal robotics projects
An RL project to make a robust Air Traffic Controller agent.
Simple example of reinforcement learning using the "Sarsa" method with epsilon-greedy to solve the optimized path of a maze.
Application of reinforcement learning to the management of traffic light intersection
Final part of the Coursera RL Specialization: Expected Sarsa agent with a neural network and the Adam optimizer and used it for solving the Lunar Lander problem
Solution to OpenAI Gym's CliffWalking environment using Sarsa, Q-Learning and Expected Sarsa