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Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
A simple framework for experimenting with Reinforcement Learning in Python.
A Modern Probabilistic Model Checker
(Experimental, a lot of bugs) Automatic fingering generator for piano scores, determining optimal fingering using Model-Based Reinforcement Learning, written in the Julia language.
Solving POMDP using Recurrent networks
Java Market Data Handler for CME Market Data (MDP 3.0)
Modeling agents with probabilistic programs
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.
A minimalist, low-latency, HFT CME MDP3.0 C++ market data feed handler and pcap file reader (MDP 3.0)
Hands-on workshop for websphere MQ programming
Hierarchical Online Planning and Reinforcement Learning on Taxi
Feature selection for maximizing expected cumulative reward
Minimal Policy Search Toolbox
a High-Performance Distributed Solver for Large-Scale Markov Decision Processes (MDP) relying on Inexact Policy Iteration; for Python and C++
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
This repository contains the MATLAB code to devise an optimal policy for the motion of the robot given the obstacles and world boundaries. This file contains implementation to a specific environment wiht known parameters and obstacles, but can easily be modified or generalized for any environment. The code was linked to the V-Rep simulation envi…
CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
Using reinforcement learning and genetic algorithms to improve traffic flow and reduce vehicle waiting times in a single-lane two-way junction simulator by coordinating traffic signal schedules.
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