Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

A simple framework for experimenting with Reinforcement Learning in Python.

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

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)

Agent Git: Agent Version Control, Open-Branching, and Reinforcement Learning MDP for Agentic AI. A Standalone Agentic AI Infrastructure Layer for LangGraph Ecosystems

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

Modeling agents with probabilistic programs

A minimalist, low-latency, HFT CME MDP3.0 C++ market data feed handler and pcap file reader (MDP 3.0)

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

Hierarchical Online Planning and Reinforcement Learning on Taxi

Hands-on workshop for websphere MQ programming

Feature selection for maximizing expected cumulative reward

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.

a High-Performance Distributed Solver for Large-Scale Markov Decision Processes (MDP) relying on Inexact Policy Iteration; for Python and C++

Minimal Policy Search Toolbox

Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021

Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs