Partially Observable Actions in Solving Markov Decision Processes. The Case for Insulin Dosing Optimization in Diabetic Patients.
Using Monte-Carlo Tree Search to Solve the Board Game Hive
Blackjack: How to use MDP’s to (nearly) beat the house
Cancer Metabolism Mapping: Bayesian Networks and Network Learning Techniques to Understand Cancer Metabolic and Regulatory Pathways
Gibbs Sampling in BayesNets.jl
UAV Collision Avoidance Policy Optimization with Deep Reinforcement Learning
Improving Training Efficiency in Deep Q-Learning for Atari Breakout
Monitoring Machine Workload Distribution with Kalman Filter
Approximating Transition Functions to Cart Track MDPs via Sub-State Sampling
Approaching Quantitative Trading with Machine Learning
Structure and Parameter Learning in Bayesian Networks with Applications to Predicting Breast Cancer Tumor Malignancy in a Lower Dimension Feature Space
Autonomous Racing by Learning from Professionals
Bravo Zulu: Optimizing Teammate Selection for Military and Civilian Applications
Investigating Transfer Learning in Deep Reinforcement Learning Context
Simultaneous Estimation and Control with MCTS
Controlling Soft Robots with POMCP
Automatic Learning of Computer Users’ Habits
Learning to Play Soccer in the OpenAI Gym
Playing Ultimate Tic-Tac-Toe with TD Learning and Monte Carlo Tree Search
A Bayesian Network Model of Pilot Response to TCAS Resolution Advisories
Improving Head Impact Kinematics Measurement Accuracy using Sensor Fusion
Drive Decision Making at Intersections
Deterministic and Bayesian Techniques for Spaceborne Vision-Based Non-Stellar Object Detection
A Two-Phased Deep Reinforcement Learning Algorith for High-Frequency Trading
Implementation and Experimentation of a DQN solver in Julia for POMDPs.jl
Landing on the Moon
Deserted Island: Cooperative Behavior in Absence of Explicit Delayed Reward
DeepGo.py
Managing Groundwater under Uncertain Seasonal Recharge
Using Reinforcement Learning to Find Flaws in Collision Avoidance Systems
Effectiveness of Bayesian Networks in Building a Prediction Model for Movie Success
Data Driven Agent based on Aircraft Intent
Deep Q-Learning with Natural Gradients
A Shot in the Dark: Beating Battleship with POMCP
Accelerated Asynchronous Deep Reinforcement Learning Variant of Advantage Actor-Critic
Applying Reinforcement Learning and Online Methods on the Inverted Pendulum Problem
Predicting Sentiment with Deep Q-Learning
A Lookahead Strategy for Super-Level Set Estimation using Gaussian Processes
Modeling Breast Cancer Treatment as a Markov Decision Process
Learning 31 using Cross-Entropy Methods
Improving Haptic Guidance using Reinforcement Learning
NLPLab: Actor-Critic Training in Natural Language Processing
Deep Reinforcement Learning on Atari Breakout
Reinforcement Learning for LunarLander
Reinforcement Learning for AI Machine Playing Hearthstone
Using Deep Q-Learning to Automate CNN Training
Automatic Continuous Variable Encoder in Bayesian Network
Side Channel Analysis using Neural Networks and Random Forests
A Decision-Making System for Wildfire Management
Decentralized Game Theoretic Methods for the Distributed Graph Coverage Problem
Autonomous altitude control for high altitude balloons
Neural Network Arbitration for Better Time and Accuracy trade-offs
Deep Deterministic Policy Gradient with Robot Soccer
Towards a Personal Decision Support System
Optimal Gerrymandering under Uncertainty
The Ambulance Dilemma: Crossing an Intersection with Monte Carlo Tree Search
DeepDominionDevelopmental Policy Design: an MDP approach
Training of a craps betting strategy with Reinforcement Learning Techniques
Engineering a Better Monkey
Decision Making During a Bicycle Race
Using Discrete Pressure Measurements to Understand Subsonic Bluff-Body Dynamic Damping
Effective Move Selection in Chess Without Lookahead Search
Solving Texas Hold’em with Monte-Carlo Planning
Reinforcement Learning of High-Speed Autonomous Driving through Unknown Map
Implementation and deployment of particle filter for simulated and real-world localization tasks
Tree Augmented Naive Bayes and Backward Simulation
Transfer of Q values across tasks in Reinforcement Learning
Training Regime Modifications for Deep Q-Network Learning Acceleration
Reinforce Optimizer
Approximating Ligand Docking Using a Markov Decision Process
Breaking Down Social Media Filter Bubbles via Reinforcement Learning
Performing an N-Sentiment Classification Task on Tinder Profiles Based On Image Feature Extraction
Play Blackjack With Monte Carlo Simulation And Q-learning with Linear Regression
Observer-Actor Neural Networks for Self-Play in Imperfect Information Games
Using Hybrid Bayes Nets to Model Country Prosperity
Solving a Pandemic! Various Approaches for Tackling the Board Game
Improved Markov Decision Process Model for Resource Allocation in Disaster Scenarios
Learning Chess through Reinforcement Learning
Deep Reinforcement Learning For Continuous Control: An Investigation of Techniques and Tricks
Computer Vision Through Perception: Semantic Understanding of Novel Scenes through Data Programming
Path Planning for Insertion of a Bevel-Tip Needle
Modeling human biases through reinforcement learning
Bootstrapping Neural Network with Auxiliary Tasks
Q-Learning Application in Optimizing Pokémon Battle Strategy
Model-based exploration in natural language generation
Automated Aircraft Touchdown
Longitudinal Vehicle Control using a Markov Decision Process and Deep Neural Network
MOMDP-based Aerial Target Search Optimization
Greedy Thick-Thinning Structure Learning and Bayesian Network Conditional Independence Implementations in BayesNets.jl
Multiagent Planning For Aerial Broadband Internet
Viral Marketing as an MDP
Neural Soccer - Towards Exploration by the Pursuit of Novelty
Locally Weighted Value Iteration in Julia
Fully-Nested Interactive POMDPs for Partially-Observable Turn-Based Games
Optimal Policy Considerations for Gas Turbine Maintenance
Learning Optimal Manipulation of Food Webs
Estimating Resource Prospector’s Probability of Failure Using Importance Sampling and Cross Entropy
Dynamically Discount Deep Reinforcement Learning
Deep Reinforcement Learning: Accelerated Learning with Effective Gradient Ascent Optimization Algorithms
Autonomous Human Tracking in Simulated Environment
A LQG Library for POMDPs.jl
Fall 2015
Mars Hab-Bot: Using MDPs to simulate a robot constructing human-livable habitats on Mars
A Value Iteration Study of BlackJack
Optimized Store-Stocking via Monte Carlo Tree Search with Stochastic Rewards
Trajectory Planning for Map Exploration Using Terrain Features
Instruction Following with Deep Reinforcement Learning
Using Markov Decision Processes to Minimize Golf Score
Reinforcement Learning for Scheduling I/O Requests on Multi-Queue Flash Storage
Finding the Perfect ‘Job’ in resource allocation
Maximizing Influence in Social Networks
A Machine Learning Regression Approach to General Game Playing
Modeling GPS Spoofing as a Partially Observable Markov Decision Process
Travel Hacking with MDPs
Optimal Mission Planning for a Satellite-Based Particle Detector via Online Reinforcement Learning
An MDP Approach to Motion Planning for Hopping Rovers on Small Solar System Bodies
Sampling Strategies for Deep Reinforcement Learning
Descriptive Power of Bayesian Structure Learning in Stock Market
Large-Scale Traffic Grid Signal Control Using Fuzzy Logic and Decentralized Reinforcement Learning
Simulated Pedestrian-like Navigation with a 1D Kalman Filter with an Accelerometer and the Global Positioning System
Search and Track Tradeoff for Multifunction Radars
Play Calling in American Football Using Value Iteration
Reinforcement learning for commodity trading
Learning the Stock Market, a Naive Approach
A POMDP Framework for Modelling Robotic Guidance During a Tissue Palpation Task
Reinforcement Learning of an Artificially Intelligent Hearts Player1
Toy Helicopter Control via Deep Reinforcement Learning
Gas Refuelling Optimization Modelled as a Markov Decision Process
Q-Matrix and Policy Compression via Deep Learning
Augmenting Self-Learning In Chess Through Expert Imitation
Monte Carlo Tree Search Applied to a Variant of the RockSample Problem
Supply Chain Management using POMDPs
Online Markov Decision Process Framework for Modeling Efficient Home Robot Cleaners
Reinforcement Learning for Path Planning with Soft Robotic Manipulators
Exploring POMDPS with Recurrent Neural Networks
Tic-tac-toe with reinforcement learning: best strategies and influence of parameters
Vehicle Speed Prediction using Long Short-Term Memory Networks
Explorations on Learning Bayesian Networks
Playing unknown game on a visual world
Reinforcement Learning for Atari Games
Q-learning in the Game of Mastermind
Modeling of a Baseball Inning as MDP
Reinforcement Learning for Path Planning with Soft Robotic Manipulators
Autonomous Driving on a Multi-lane Highway Using POMDPs
Solving a Maze Without Location Data
Markov Decision Processes and Optimal Policy Determination for Street Parking
Solving an opponent-based match-three mobile game
Life begins as a POMDP: improving decision making in the IVF clinic
Path Planning for Target-Tracking Unmanned Aerial Vehicle
Discrete State Filter Implementation for a Battleships Artificial Intelligence
POMDP for Search and Rescue with Obstacle Avoidance: Incorporation of Human in the Loop
Application performance over cellular networks
An MDP Approach to Motion Planning for Hopping Rovers on Small Solar System Bodies
Solving Dudo: beating Liar’s Dice with a POMDP
Reinforcement Learning for Tetris
Robot Path Planning using Monte Carlo POMDP
Reinforcement Learning of an Artificially Intelligent Hearts Player
Enhancing Computational Efficiency of PILCO Model-based Reinforcement Learning Algorithm
Analysis of UCT Exploration Parameter in Sailing Domain Problems
Solving a Search and Rescue Planning problem with MOMDPs
Robot Motion Planning in Unknown Environments using Monte Carlo Tree Search
Delivery optimization of an on-demand delivery service
Solving MultiAgent Decision Making using MDPs
Efficient and Modular Inventory Management Framework for Small Businesseses
Markov Decision Processes in Board Game Playing
Automated Model Selection via Gaussian Processes
Predictive Hybrid Vehicle Control Policy
Optimal Policies for In-Space Satellite Communications
Spacecraft Navigation in Cluttered, Dynamic Environments Using 3D Lidar
Playing Chess Endgames using Reinforcement Learning
Space Debris Removal
Large-Scale Traffic Grid Signal Control Using Fuzzy Logic and Decentralized Reinforcement Learning
Relation Extraction from Scratch
Lane Merging as a Markov Decision Process
Using MDP/POMDP to Help in Search of Survivors of a Plane Crash
Applying POMCP to Controlling Partially Observable Diffusion Processes
Credit Risk Classification using Bayesian Network
Fall 2014
Automating Air Traffic Management for Flight Arrivals
Policy Learning for Sokoban
Flight Path Optimization Under Constraints Using a Markov Decision Process Approach
Visual Localization and POMDP for Autonomous Indoor Navigation
Monte Carlo Tree Search for Online Learning in Golf Course Management
Pushing on Leaves
Beating 2048
Improved electrical grid balancing with demand response scheduled by an MDP
Multi-Fidelity Model Management in Engineering Design Optimization Using Partially Observable Markov Decision Processes
Smarter Generators in Power Markets
Beach Paddle Ball
Applying POMDP to RockSample problem
Targeting Hostile Vehicle Modeled as a Partially Observable Markov Decision Process with State-Dependent Observation Model
Reinforcement Learning and Linear Gaussian Dynamics Applied to Multifidelity Optimization of a Supersonic Wedge
Approximate POMDP Solutions for Short-Range UAV Traffic Conflict Resolution
WorkSmart: The Implementation of a Modified Q-Learning Algorithm for an Intelligent Daily To-Do List Android Application
Imminent Obstacle Avoidance with Friction Uncertainty
Dynamic Restrictions during Commercial Space Vehicle Launches
Autonomous Direct Marketing with Deep Q-Learning
Efficient Risk Estimation for Chance-Constrained Robotic Motion Planning Under Uncertainty
Probabilistic Aircraft Arrival Rate Prediction
Audio Keylogging: Translating Acoustic Signals into Keystrokes
Collision Avoidance for Small Multi-Rotor Aircraft using SARSA(\(\lambda\)) and Fourier Basis Functions
Reinforcement Learning with Tetris
Stock Market Reinforcement Learning
Obstacle Avoidance for Automated Vehicle using Markov Decision Processes
Control of Epidemics on a Graph
Autonomous ATC for non-towered airports
Path Planning for Terrain Relative Navigation using POMDPs
Vehicle Braking Controller in a Markov Decision Process Framework
Multi-Armed Bandit Heuristics for HTTP Denial-of-Service Attacks
Structure Learning for Probabilistic Driving Models
Casino Blackjack Modeled as a Markov Decision Process
Competitive Collision Avoidance
Efficient Sampling Of Protein Landscapes Via Markov Decision Processes
Flight Deck Interval Management (An MDP Approach)
BGT Model for Analysis of Head-On Collisions
Collision Avoidance System Parameter Optimization
Dynamic Demand Prediction and Routing for Autonomous Mobility-on-Demand Systems
Action-Constrained, Multi-Species Task Scheduling: The Kayaker Problem
Reinforcement Learning with Low-rank Matrix Factorization
Automated Sequencing and Spacing of Arrival Aircraft in Final Vector Approach Airspace