policy-iteration

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

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

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

CSE 571 Artificial Intelligence

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Value & Policy Iteration for the frozenlake environment of OpenAI

Basic Reinforcement Learning algorithms

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

Using reinforcement learning to find the shortest paths.

Tabular methods for reinforcement learning

Reinforcement Learning algorithms with nothing abstracted away

Artificial Intelligence series

Python implementation of common RL algorithms using OpenAI gym environments

The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU

Experiments testing variants of Value and Policy iterations.

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

Value Iteration and Policy Iteration to solve MDPs

Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, by Sutton and Barto".

RLjs currently serves as an interactive playground for learning reinforcement learning.

A reinforcement learning agent navigating the OpenAI's FrozenLake environment

A digital policy consultation across a nation as a Rails App with two key elements: (a) a ‘collaborative policy-writing’ tool (b) a Facebook messenger bot. The consultation will be live for one month, after which the insight, feedback, and deliberation will be consolidated, integrated, and built into a revised citizen-driven national vision.

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.

Jack's Car Rental problem and its variant as mentioned in Example 4.2 and Exercise 4.3 respectively of the book by Sutton and Barto (Reinforcement Learning: An Introduction, Second Edition)

A reinforcement learning framework for the game of Nim.

Implementation and experiments of reinforcement learning algorithms in CS885 @ UW

Numpy & Keras based re-implementation of basic RL-algorithms: DP, VI, PI, SARSA, Q-Learning, DQN

A reinforcement learning project for crowd-dynamics in a very narrow corridor

This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient

A Q Learning Reinforcement agent using a simple feed forward neural net.

Value Iteration, Policy Iteration, and Q-Learning in Frozen lake gym env