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A Concise Introduction to Models and Methods for Automated Planning
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Active Perception: Using Goal Context to Guide Sensing and Other Actions
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A Disaster Response System based on Human-Agent Collectives
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A Game-Theoretic Planning Framework for Intentional Threat Assessment
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A Linearly Relaxed Approximate Linear Program for Markov Decision Processes
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An MDP-based Approximation Method for Goal Constrained
Multi-MAV Planning under Action Uncertainty
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ASAP-UCT: abstraction of state-action pairs in UCT
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A Tutorial on Linear Function Approximators
for Dynamic Programming and Reinforcement Learning
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Automated Verication and Strategy Synthesis for Probabilistic Systems
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Bottom–Up Learning of Hierarchical Models in a Class of Deterministic
Pomdp Environments
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Bridging Theory and Practice in Cache Replacement
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Cold-Start Collaborative Filtering
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Computing Machines as Agents: An Interface Layer for joint advanced Networking
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Confidence-based progress-driven self-generated goals for skill
acquisition in developmental robots
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Constraining a MDP’s Search Space by Usage of Planning Trajectories
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Decision Making for Automated Vehicles in Merging Situations using
Partially Observable Markov Decision Processes
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Deliberation for autonomous robots: A survey
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Design and Analysis of Spatially-Partitioned Shared Caches
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Designing Incentive for Cooperative Problem Solving in Crowdsourcing
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Dissertation Abstract: Exploiting Symmetries in Sequential Decision Making under Uncertainty
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Dynamic Decision Making Model for Wildfire Containment
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Equi-Reward Utility Maximizing Design in Stochastic Environments
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Evaluation of Linear relaxations in Ad Network optimization for online
marketing
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Exact and approximate probabilistic symbolic execution for
nondeterministic programs
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Goal Recognition Design with Stochastic Agent Action Outcomes
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Heuristically accelerated reinforcement learning modularization for
multi-agent multi-objective problems
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Heuristic Search in Dual Space for Constrained Stochastic Shortest Path
Problems
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Hierarchical decomposition of multi-agent Markov decision processes with
application to health aware planning
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Human-Agent Collaboration for Disaster Response
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Human Choice and Good Choice
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Hybrid Planning for Decision Making in Self-Adaptive Systems
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Hybrid Planning For Self-Adaptation
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Integrated task and motion planning in belief space
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Investigation of Learning Strategies for the SPOT Broker in Power TAC
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Learning Continuous State/Action Models for Humanoid Robots
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Learning Efficient Representations for Reinforcement Learning
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Learning Uncertainty in Ocean Current Predictions for Safe and Reliable
Navigation of Underwater Vehicles
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Making Good Decisions Quickly
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Markov Reward Models and Markov Decision Processes in Discrete and
Continuous Time: Performance Evaluation and Optimization
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Maximizing Cache Performance Under Uncertainty
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Methods to analyze responding to, counteracting, and utilizing
sociocultural behaviors
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Modelagem e soluções para redes de anúncios.
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Multiagent Learning: dynamic games & applications
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Multi-Objective Planning with Multiple High Level Task Specifications
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Network Coding for Hop-by-Hop Communication Enhancement in Multi-hop
Networks
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Обзор применения формальных методов в робототехнике
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Occupation Measure Heuristics for Probabilistic Planning
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OGA-UCT: On-the-Go Abstractions in UCT
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On Optimal Policies for Network Coded Cooperation: Theory and
Implementation
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On the Probabilistic Symbolic Analysis of Programs
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Optimized Control for Water Utilities
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Plan Aggregation for Strong Cyclic Planning in Nondeterministic Domains
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Planejamento probabilistico como busca num espaco de transicao de estados
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Planning for stochastic games with co-safe objectives
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POMDP-based Control of Workflows for Crowdsourcing
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Policy Explanation and Model Refinement in Decision-Theoretic Planning
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Probabilistic Modeling of Dynamic Systems
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Providing Serializability for Pregel-like Graph Processing Systems
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Real-time Elective Admissions Planning for Health Care Providers
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Redesigning Stochastic Environments for Maximized Utility.
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Reinforcement Learning in Differential Games:
A Learning Invader for the Guarding a Territory Game
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Risk-aware path planning for autonomous underwater vehicles
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Robotics and Artificial Intelligence: a Perspective on Deliberation Functions
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Sample-based abstraction for hybrid relational MDPs
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Scalable Approximate Policies for Markov Decision Process Models of
Hospital Elective Admissions
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Scalable Methods and Expressive Models for Planning Under Uncertainty
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Simple Regret Optimization in Online Planning for Markov Decision
Processes
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Survey on Formal Methods in Robotics
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The Stochastic Shortest Path Problem: A polyhedral combinatorics perspective
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To UCT, or not to UCT? (Position Paper)
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Verification of Markov Decision Processes using Learning Algorithms