Explore reinforcement learning algorithms and environments, from classic to deep learning methods.

A robocode battle tank powered by MLP with reinforcement learning

Different approaches to control the cart and pole system from LQR to Reinforcement learning algorithm as SARSA and Q-learning

Implementation of Q-learning and SARSA algorithms in the Cliff Walking environment. Explore and compare reinforcement learning techniques.

An AI based on reinforcement learning to play Tic Tac Toe.

A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks

Implementing a reinforcement learning agent in a grid world that earns rewards and faces penalties

Application of reinforcement learning to the management of traffic light intersection

Application of reinforcement learning to the management of traffic light intersection

Path Planning with Reinforcement Learning algorithms in an unknown environment

Applied various Reinforcement Learning (RL) algorithms to determine the optimal policy for diverse Markov Decision Processes (MDPs) specified within the OpenAI Gym library

This is a fork from my capstone project for the CSU Monterey Bay bachelor's of computer science degree program.

Advanced statstical learning course project on reinforcement learning

reinforcement learning for power grid optimal operations and maintenance

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).

Deep Q network and Policy gradient reinforcement learning alogrithms to play pacman

[Innopolis University] Reinforcement Learning Course 2022.

Compare q-learning, SARSA and Expected SARSA to solve AI gym's Taxi-v3 environment