Standout Papers
Citation Impact
Citing Papers
Experiences with a mobile robotic guide for the elderly
2002
Free-energy-based Reinforcement Learning in a Partially Observable Environment
2010
Dynamic programming for partially observable stochastic games
2004
Probabilistic inference as a model of planned behavior.
2009
Reinforcement Learning with Factored States and Actions
2004 StandoutNobel
Bayesian Reinforcement Learning: A Survey
2015
An Algorithmic Perspective on Imitation Learning
2018
Apathy associated with neurocognitive disorders: Recent progress and future directions
2016
State-of-the-art in artificial neural network applications: A survey
2018 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Gaussian Processes Mixture
2016
Deep learning in neural networks: An overview
2014 Standout
Whatever next? Predictive brains, situated agents, and the future of cognitive science
2013 Standout
Reinforcement Learning and Dynamic Programming Using Function Approximators
2010
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
2019 Standout
Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems
2013
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Reinforcement learning in robotics: A survey
2013 Standout
Trust Management for VANETs
2012
Motion planning under uncertainty using iterative local optimization in belief space
2012
A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring
2006 Standout
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
2019 Standout
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
2016 Standout
Conversational agents in healthcare: a systematic review
2018 Standout
POMDP-Based Statistical Spoken Dialog Systems: A Review
2013
Trajectory Optimization using Reinforcement Learning for Map Exploration
2008
A Survey of Research on Cloud Robotics and Automation
2015 Standout
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
2009
A person centered work psychology: changing paradigms by broadening horizons
1996 Standout
Active Pose SLAM
2012
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Deep Reinforcement Learning: A Survey
2022 Standout
Skip-Thought Vectors
2015
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information
2011
Battery Lifetime Prognostics
2020 Standout
Educational data mining: A survey and a data mining-based analysis of recent works
2013 Standout
A Comprehensive Survey of Multiagent Reinforcement Learning
2008 Standout
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
2018
The cholinergic system in the pathophysiology and treatment of Alzheimer’s disease
2018 Standout
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations
2020
A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks
2010
Machine Learning for Networking: Workflow, Advances and Opportunities
2017
Model-Free Quantum Control with Reinforcement Learning
2022 StandoutNobel
Human-Robot Interaction: A Survey
2007 Standout
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies
2011
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP
2015 Standout
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
2018 Standout
Toward 6G Networks: Use Cases and Technologies
2020 Standout
Routing optimization meets Machine Intelligence: A perspective for the future network
2021
Deep Reinforcement Learning with Double Q-Learning
2016 Standout
TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions
2020
A Roadmap of Agent Research and Development
1998 Standout
Assistive social robots in elderly care: a review
2009 Standout
A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy
2018 Standout
Works of Pascal Poupart being referenced
Point-Based Value Iteration for Continuous POMDPs
2006
Cost-Sensitive Exploration in Bayesian Reinforcement Learning
2012
Model-based Bayesian reinforcement learning in partially observable domains
2008
Solving POMDPs with continuous or large discrete observation spaces
2005
Bounded Finite State Controllers
2003
Bayesian reputation modeling in E-marketplaces sensitive to subjecthity, deception and change
2006
Value-directed sampling methods for monitoring POMDPs
2001
Measuring Life Space in Older Adults with Mild-to-Moderate Alzheimer's Disease Using Mobile Phone GPS
2013
Factored partially observable Markov decision processes for dialogue management
2005
Hierarchical POMDP Controller Optimization by Likelihood Maximization
2012
Value-Directed Sampling Methods for POMDPs
2013
Self-Adaptive Hierarchical Sentence Model
2015
Hierarchical Double Dirichlet Process Mixture of Gaussian Processes
2021
Minimal Sufficient Explanations for Factored Markov Decision Processes
2009
Vector-space Analysis of Belief-state Approximation for POMDPs
2013
Online flow size prediction for improved network routing
2016