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