Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)

POMDPs in Python.

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

Implementation of value iteration algorithm for calculating an optimal MDP policy

Reinforcement Learning Short Course

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

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

CSE 571 Artificial Intelligence

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

Tabular methods for reinforcement learning

Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley

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

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

Reinforcement Learning Algorithms in FrozenLake-v1

Using reinforcement learning to find the shortest paths.

GPU-accelerated MDP solvers in Python with JAX

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

Basic Reinforcement Learning algorithms

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

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

No description provided.

Value & Policy Iteration for the frozenlake environment of OpenAI

Stochastic-Shortest-Path-Minimize-Memorization-Cost for FSRS

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

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

Implementation of point-based value iteration (for POMDPs)

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

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