value-iteration

pemami4911/POMDPy

POMDPs in Python.

Madhu009/Deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

AgentMaker/Paddle-RLBooks

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

chauvinSimon/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

sachinbiradar9/Markov-Decision-Processes

Implementation of value iteration algorithm for calculating an optimal MDP policy

tanmayshankar/RCNN_MDP

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

callmespring/RL-short-course

Reinforcement Learning Short Course

iamjagdeesh/Artificial-Intelligence-Pac-Man

CSE 571 Artificial Intelligence

PhadonP/Rubiks-Cube-Reinforcement-Learning

Solving a Rubik's Cube and 15 Puzzle using the Deep Reinforcement Learning and Search

iisys-hof/map-matching-2

High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).

linesd/tabular-methods

Tabular methods for reinforcement learning

YyzHarry/SV-RL

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

xgkkk/shortest-paths-RL

Using reinforcement learning to find the shortest paths.

alwaysbyx/Optimization-and-Search

Implementation and visualization (some demos) of search and optimization algorithms.

BertrandBev/controls-js

⚙️ Controls.js is a sandbox showcasing a few modern controls techiques directly in the browser

neka-nat/vin-keras

This is an implimentation of Value Iteration Networks (NIPS2016 best paper) in keras

tirthajyoti/RL_basics

Basic Reinforcement Learning algorithms

aaksham/frozenlake

Value & Policy Iteration for the frozenlake environment of OpenAI

bfaure/AI_Project_4

moripiri/Reinforcement-Learning-on-FrozenLake

Reinforcement Learning Algorithms in a simple Gridworld

MahanFathi/HJxB

Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)

svpino/cs7641-assignment4

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

rmoehn/piglet_pbvi

Implementation of point-based value iteration (for POMDPs)

antonio-f/Dynamic-Programming

Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.

mbodenham/gridworld-value-iteration

Using value iteration to find the optimum policy in a grid world environment.

nicolaloi/Dynamic-Programming-and-Optimal-Control

Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".

PeeteKeesel/basic-rl-algorithms

:robot: Implementation and short explanation of basic RL algorithms, reproducing the simulations from Andrej Kaparthy's REINFORCEjs library.

waqasqammar/MDP-with-Value-Iteration-and-Policy-Iteration

Value Iteration and Policy Iteration to solve MDPs

caelan/planning-algorithms

MIT Planning Algorithms Class Implementations

jayeshk7/RL-Algorithms

Python implementation of common RL algorithms using OpenAI gym environments

KHvic/Markov-Decision-Process-Value-Iteration-Policy-Iteration-Visualization

Computing an optimal Markov Decision Process (MDP) policy with Value Iteration and Policy Iteration

sachag678/Reinforcement_learning

Contains baseline implementations of all RL algorithms using tabular and function approximations. Algorithms such as TD(0), MC, SARSA, Q-Learning and Policy Gradient methods.

shehio/ReinforcementLearning

Reinforcement Learning algorithms with nothing abstracted away

shehio/Stochastic-Programming

Devising an optimal portfolio choosing strategy based on stochastic programming

parissashahabi/Game-Playing-Intelligent-Agent

Implemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm and common path-planning techniques such as A*, Dijkstra, and bidirectional search.