An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.
-
Updated
Feb 10, 2017 - Jupyter Notebook
An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.
An efficient reinforcement learning algorithm for learning a strategy for game 2048
Implementation of reinforcement learning algorithms to solve pacman game. Part of CS188 AI course from UC Berkeley.
This presentation contains very precise yet detailed explanation of concepts of a very interesting topic -- Reinforcement Learning.
Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy
A neural network playing Backgammon.
Tic-Tac-Toe agent trained by Deep Reinforcement Learning
Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.
A simple reinforcement learning simulation engine for OpenAI's gym.
Implementation of Reinforcement Algorithms from scratch
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Basic Reinforcement Learning algorithms
TD learning model of a rat who learns how to navigate in a watermaze from the activation of its place cells 🐀
Backgammon OpenAI Gym
Policy Evaluation and Policy Control for modified Blackjack: Assignment 1, COL870 (Reinforcement Learning) @ IIT Delhi
Onitama Board Game Simulator with Reinforcement Learning opponents (CS 5033)
Reinforcement Learning algorithms
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
This project is an implementation of the game EASY21
A 2048 game platform made with Python & the AI of the game trained by reinforcement learning
Add a description, image, and links to the td-learning topic page so that developers can more easily learn about it.
To associate your repository with the td-learning topic, visit your repo's landing page and select "manage topics."