This is an old revision of the document!
SDMIA Fall Symposium: Schedule
Thursday, November 12
| Authors | Title | ||
|---|---|---|---|
| 09:00am | 09:15am | Welcome and introductions | |
| 09:15am | 10:05am | Milind Tambe, USC | TBA |
| 10:05am | 10:30am | application discussion | |
| 10:30am | 11:00am | Coffee break | |
| 11:00am | 11:45am | Shlomo Zilberstein, UMass Amherst | Do We Expect Too Much from DEC-POMDP Algorithms? |
| 11:45am | 12:10pm | C. Amato, G. Konidaris, S. Omidshafiei, A. Agha-Mohammadi, J. How and L. Kaelbling | Probabilistic Planning for Decentralized Multi-Robot Systems |
| 12:10pm | 12:35pm | Siddharth Srivastava, Stuart Russell and Alessandro Pinto | Metaphysics of Planning Domain Descriptions |
| 12:35pm | 02:00pm | Lunch | |
| 02:00pm | 02:25pm | Erwin Walraven and Matthijs T. J. Spaan | Planning under Uncertainty with Weighted State Scenarios |
| 02:25pm | 02:50pm | Fabio-Valerio Ferrari and Abdel-Illah Mouaddib | Hierarchical factored POMDP for joint tasks : application to escort tasks |
| 02:50pm | 03:15pm | Luis Pineda, Kyle Wray and Shlomo Zilberstein | Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences |
| 03:15pm | 03:30pm | open discussion | |
| 03:30pm | 04:00pm | Coffee break | |
| 04:00pm | 04:45pm | Mykel Kochenderfer, Stanford | Decision Theoretic Planning for Air Traffic Applications |
| 04:45pm | 05:10pm | A. Reyes, P. H. Ibarguengoytia, I. Romero, D. Pech and M. Borunda | Open questions for building optimal operation policies for dam management using Factored Markov Decision Processes |
| 05:10pm | 05:35pm | Kyle Wray and Shlomo Zilberstein | A Parallel Point-Based POMDP Algorithm Leveraging GPUs |
| 06:00pm | 07:00pm | Reception | |
Friday, November 13
| Authors | Title | ||
|---|---|---|---|
| 09:00am | 09:45am | Jason Williams, Microsoft Research | Decision-theoretic control in dialog systems: recent progress and opportunities for research |
| 09:45am | 10:05am | application discussion | |
| 10:05am | 10:30am | Daniel Urieli and Peter Stone | Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market |
| 10:30am | 11:00am | Coffee break | |
| 11:00am | 11:25am | Edmund Durfee and Satinder Singh | Commitment Semantics for Sequential Decision Making Under Reward Uncertainty |
| 11:25am | 11:50am | A. Iwasaki, T. Sekiguchi, S. Yamamoto and M. Yokoo | How is cooperation/collusion sustained in repeated multimarket contact with observation errors? |
| 11:50am | 12:10pm | S. Mcgregor, H. Buckingham, R. Houtman, C. Montgomery, R. Metoyer and T. Dietterich | Facilitating Testing and Debugging of Markov Decision Processes with Interactive Visualization |
| 12:10pm | 12:30pm | Frans Oliehoek, Matthijs T. J. Spaan, Philipp Robbel and Joao Messias | The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems |
| 12:30pm | 02:00pm | Lunch | |
| 02:00pm | 02:45pm | Craig Boutilier, Google | Large-scale MDPs in Practice: Opportunities and Challenges |
| 02:45pm | 03:00pm | application discussion | |
| 03:00pm | 03:25pm | Philipp Robbel, Frans A. Oliehoek and Mykel J. Kochenderfer | Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs |
| 03:30pm | 04:00pm | Coffee break | |
| 04:00pm | 04:45pm | Emma Brunskill, CMU | Quickly Learning to Make Good Decisions |
| 04:45pm | 05:10pm | Martin Allen | Complexity of Self-Preserving, Team-Based Competition in Partially Observable Stochastic Games |
| 05:10pm | 05:35pm | Bruno Lacerda, David Parker and Nick Hawes | Nested Value Iteration for Partially Satisfiable Co-Safe LTL Specifications (Extended Abstract) |
| 06:00pm | 07:30pm | Plenary session | |
Saturday, November 14
| Authors | Title | ||
|---|---|---|---|
| 09:00am | 09:45am | Alan Fern, Oregon State | Quickly Learning to Make Good Decisions |
| 09:45am | 10:00am | application discussion | |
| 10:00am | 10:25am | Matthew Hausknecht and Peter Stone | Deep Recurrent Q-Learning for Partially Observable MDPs |
| 10:30am | 11:00am | Coffee break | |
| 11:00am | 11:25am | D. Ellis Hershkowitz, James MacGlashan and Stefanie Tellex | Learning Propositional Functions for Planning and Reinforcement Learning |
| 11:25am | 11:50am | Yusen Zhan and Matthew Taylor | Online Transfer Learning in Reinforcement Learning Domains |
| 11:50am | 12:30pm | wrapup discussion | |
