Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
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Updated
Sep 18, 2024 - Python
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Tabular TD control in MAZE environment using Q-Learning, SARSA, and Expected SARSA
🌍💨 Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. 🚀📊
Neural Expect Sarsa Reinforcement Learning Agent for Snake
First task for my Reinforcement Learning class in Deusto. The research paper the main RL algorithms applied on the Frozen Lake env provided by GymOpenAI. Paper is avaible at:
Advanced RL algorithms for two simplified versions of chess. Shortest Path finds the minimal moves between two cells based on piece capabilities. Capture Pieces trains against random opponents aiming for maximal captures in set moves. Features Deep Q-Learning, Policy Iteration, TD and more.
Reinforcement Learning (COMP 579) Project
Some of my solutions of the exercises and all my projects of the Udacity Deep Reinforcement Learning Nanodegree https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
Reversi game with multiple reinforcement learning algorithms.
Compare q-learning, SARSA and Expected SARSA to solve AI gym's Taxi-v3 environment
Implementation of Q-Learning and Expected SARSA algorithms to solve the Text-Flappy-Bird game
This repo contains python implementation to the cliff walking problem from RL Introduction by Sutton & Barto Example 6.6.
Solving Markov Decision Process using Value Iteration and Policy Iteration, SARSA, Expected SARSA and Q-Learning
Implementation of TD Learning algorithms for Drone Parrot for TCS Project
AI Agent that learns to play Snake with Reinforcement Learning using a Deep Q-Network (SARSA, Q-Learning and Expected SARSA)
An Expected SARSA RL agent created to solve the Mountain Car problem.
Using deep expected sarsa with tensorflow to solve the lunar lander problem with hyperparameter tuning and results analysis
A reinforcement learning framework for the game of Nim.
This repository has RL algorithms implemented using python
Autonomous Navigation of MAVs using Reinforcement Learning algorithms
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