2008 |
25 | | Wei Li,
Pascal Poupart,
Peter van Beek:
Exploiting Causal Independence Using Weighted Model Counting.
AAAI 2008: 337-343 |
24 | | Guy Shani,
Pascal Poupart,
Ronen I. Brafman,
Solomon Eyal Shimony:
Efficient ADD Operations for Point-Based Algorithms.
ICAPS 2008: 330-337 |
23 | EE | Marc Toussaint,
Laurent Charlin,
Pascal Poupart:
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
UAI 2008: 562-570 |
22 | EE | Taehyun Park,
Edward Lank,
Pascal Poupart,
Michael Terry:
Is the sky pure today? AwkChecker: an assistive tool for detecting and correcting collocation errors.
UIST 2008: 121-130 |
2006 |
21 | | Kevin Regan,
Pascal Poupart,
Robin Cohen:
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change.
AAAI 2006 |
20 | | Tao Wang,
Pascal Poupart,
Michael H. Bowling,
Dale Schuurmans:
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning.
AAAI 2006 |
19 | | Wei Li,
Peter van Beek,
Pascal Poupart:
Performing Incremental Bayesian Inference by Dynamic Model Counting.
AAAI 2006 |
18 | EE | Pascal Poupart,
Nikos A. Vlassis,
Jesse Hoey,
Kevin Regan:
An analytic solution to discrete Bayesian reinforcement learning.
ICML 2006: 697-704 |
17 | EE | Laurent Charlin,
Pascal Poupart,
Romy Shioda:
Automated Hierarchy Discovery for Planning in Partially Observable Environments.
NIPS 2006: 225-232 |
16 | EE | Craig Boutilier,
Relu Patrascu,
Pascal Poupart,
Dale Schuurmans:
Constraint-based optimization and utility elicitation using the minimax decision criterion.
Artif. Intell. 170(8-9): 686-713 (2006) |
15 | EE | Jennifer Boger,
Jesse Hoey,
Pascal Poupart,
Craig Boutilier,
Geoff Fernie,
Alex Mihailidis:
A Planning System Based on Markov Decision Processes to Guide People With Dementia Through Activities of Daily Living.
IEEE Transactions on Information Technology in Biomedicine 10(2): 323-333 (2006) |
14 | EE | Josep M. Porta,
Nikos A. Vlassis,
Matthijs T. J. Spaan,
Pascal Poupart:
Point-Based Value Iteration for Continuous POMDPs.
Journal of Machine Learning Research 7: 2329-2367 (2006) |
2005 |
13 | EE | Jennifer Boger,
Pascal Poupart,
Jesse Hoey,
Craig Boutilier,
Geoff Fernie,
Alex Mihailidis:
A Decision-Theoretic Approach to Task Assistance for Persons with Dementia.
IJCAI 2005: 1293-1299 |
12 | EE | Jesse Hoey,
Pascal Poupart:
Solving POMDPs with Continuous or Large Discrete Observation Spaces.
IJCAI 2005: 1332-1338 |
11 | EE | Craig Boutilier,
Relu Patrascu,
Pascal Poupart,
Dale Schuurmans:
Regret-based Utility Elicitation in Constraint-based Decision Problems.
IJCAI 2005: 929-934 |
10 | EE | Kevin Regan,
Robin Cohen,
Pascal Poupart:
The Advisor-POMDP: A Principled Approach to Trust through Reputation in Electronic Markets.
PST 2005 |
2004 |
9 | EE | Pascal Poupart,
Craig Boutilier:
VDCBPI: an Approximate Scalable Algorithm for Large POMDPs.
NIPS 2004 |
2003 |
8 | EE | Craig Boutilier,
Relu Patrascu,
Pascal Poupart,
Dale Schuurmans:
Constraint-Based Optimization with the Minimax Decision Criterion.
CP 2003: 168-182 |
7 | EE | Pascal Poupart,
Craig Boutilier:
Bounded Finite State Controllers.
NIPS 2003 |
2002 |
6 | | Relu Patrascu,
Pascal Poupart,
Dale Schuurmans,
Craig Boutilier,
Carlos Guestrin:
Greedy Linear Value-Approximation for Factored Markov Decision Processes.
AAAI/IAAI 2002: 285-291 |
5 | | Pascal Poupart,
Craig Boutilier,
Relu Patrascu,
Dale Schuurmans:
Piecewise Linear Value Function Approximation for Factored MDPs.
AAAI/IAAI 2002: 292-299 |
4 | EE | Pascal Poupart,
Craig Boutilier:
Value-Directed Compression of POMDPs.
NIPS 2002: 1547-1554 |
2001 |
3 | EE | Pascal Poupart,
Craig Boutilier:
Vector-space Analysis of Belief-state Approximation for POMDPs.
UAI 2001: 445-452 |
2 | EE | Pascal Poupart,
Luis E. Ortiz,
Craig Boutilier:
Value-Directed Sampling Methods for POMDPs.
UAI 2001: 453-461 |
2000 |
1 | EE | Pascal Poupart,
Craig Boutilier:
Value-Directed Belief State Approximation for POMDPs.
UAI 2000: 497-506 |