expected-sarsa
There are 25 repositories under expected-sarsa topic.
DavidMouse1118/Reinforcement-Learning-Maze-World
SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis
EliorBenYosef/reinforcement-learning
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
YugAjmera/rl_mav_ros
Autonomous Navigation of MAVs using Reinforcement Learning algorithms
Breakend/SarsaVsExpectedSarsa
An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.
addy1997/RL-Algorithms
This repository has RL algorithms implemented using python
Atul-Acharya-17/Markov-Decision-Process
Solving Markov Decision Process using Value Iteration and Policy Iteration, SARSA, Expected SARSA and Q-Learning
aylint/rl-algorithms
Various fundamental reinforcement learning algorithms implemented from scratch
ZikangZhou/nim_rl
A reinforcement learning framework for the game of Nim.
klima7/Reversi-RL
Reversi game with multiple reinforcement learning algorithms.
Sagarnandeshwar/On_Policy_And_Off_Policy_Reinforcement_Learning
Reinforcement Learning (COMP 579) Project
batokio/RL_text-flappy-bird
Implementation of Q-Learning and Expected SARSA algorithms to solve the Text-Flappy-Bird game
emanueleiacca/Reinforcement-Learning-Frozen-Lake-env-with-Tabular-Algorithms
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:
John-CYHui/Reinforcement-Learning-Cliff-Walking
This repo contains python implementation to the cliff walking problem from RL Introduction by Sutton & Barto Example 6.6.
lochungtin/SnakeAI
Neural Expect Sarsa Reinforcement Learning Agent for Snake
mokeddembillel/Lunar-Lander-Deep-Expected-Sarsa
Using deep expected sarsa with tensorflow to solve the lunar lander problem with hyperparameter tuning and results analysis
SwamiKannan/Taxi-navigation
Compare q-learning, SARSA and Expected SARSA to solve AI gym's Taxi-v3 environment
TobiasSunderdiek/my-udacity-deep-reinforcement-learning-solutions
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
VachanVY/Reinforcement-Learning
|| Studying RL the hard way || Implementation of Important Algorithms in PyTorch from "Reinforcement Learning an Introduction" by Sutton and Barto along with RL papers
valinsogna/ReinForceMate
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.
KaranAnchan/Windy_GridWorld_Sim
🌍💨 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. 🚀📊
MPARASHA/Reinforcement-Learning-Robotics
Implementation of TD Learning algorithms for Drone Parrot for TCS Project
pchandra90/deep_rl_udacity
Exercise and assignments of Deep Reinforcement Learning Nanodegree Program offered by Udacity
rogerlucena/snake-ai
AI Agent that learns to play Snake with Reinforcement Learning using a Deep Q-Network (SARSA, Q-Learning and Expected SARSA)
yuqian5/RL-ExpectedSarsa-MountainCar
An Expected SARSA RL agent created to solve the Mountain Car problem.
u84819482/Nano-RL
Tabular TD control in MAZE environment using Q-Learning, SARSA, and Expected SARSA