Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal.
|
NIPS/NeurIPS |
2023 |
0 |
Optimal Mixed Strategies for Cost-Adversarial Planning Games.
|
ICAPS |
2022 |
0 |
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation.
|
AAAI |
2022 |
0 |
Deep RRT.
|
SOCS |
2022 |
0 |
Effective Planning in Resource-Competition Problems by Task Decomposition.
|
SOCS |
2022 |
0 |
Adversary Strategy Sampling for Effective Plan Generation.
|
SOCS |
2021 |
0 |
Representing and Reducing Uncertainty for Enumerating the Belief Space to Improve Endgame Play in Skat.
|
ECAI |
2020 |
7 |
Challenging Human Supremacy in Skat.
|
SOCS |
2019 |
0 |
Integrating Temporal Reasoning and Sampling-Based Motion Planning for Multigoal Problems With Dynamics and Time Windows.
|
IEEE Robotics and Automation Letters |
2018 |
13 |
Multiregion Inspection by Combining Clustered Traveling Salesman Tours With Sampling-Based Motion Planning.
|
IEEE Robotics and Automation Letters |
2017 |
9 |
Efficient symbolic search for cost-optimal planning.
|
Artificial Intelligence |
2017 |
49 |
Solving Graph Optimization Problems in a Framework for Monte-Carlo Search.
|
SOCS |
2017 |
0 |
Monte-Carlo Tree Search for the Multiple Sequence Alignment Problem.
|
SOCS |
2015 |
27 |
BDDs Strike Back (in AI Planning).
|
AAAI |
2015 |
24 |
Symbolic and Explicit Search Hybrid through Perfect Hash Functions - A Case Study in Connect Four.
|
ICAPS |
2014 |
4 |
Transition Trees for Cost-Optimal Symbolic Planning.
|
ICAPS |
2013 |
16 |
The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear Problems.
|
ECML/PKDD |
2012 |
5 |
Symbolic A
|
ECAI |
2012 |
0 |
Improving Cost-Optimal Domain-Independent Symbolic Planning.
|
AAAI |
2011 |
36 |
On the Complexity of BDDs for State Space Search: A Case Study in Connect Four.
|
AAAI |
2011 |
23 |
Exploiting the Computational Power of the Graphics Card: Optimal State Space Planning on the GPU.
|
ICAPS |
2011 |
19 |
GPU Exploration of Two-Player Games with Perfect Hash Functions.
|
SOCS |
2010 |
15 |
Layer-Abstraction for Symbolically Solving General Two-Player Games.
|
SOCS |
2010 |
7 |
Perfect Hashing for State Space Exploration on the GPU.
|
ICAPS |
2010 |
20 |
Optimal Symbolic Planning with Action Costs and Preferences.
|
IJCAI |
2009 |
53 |
Optimal Metric Planning with State Sets in Automata Representation.
|
AAAI |
2008 |
3 |
Limits and Possibilities of BDDs in State Space Search.
|
AAAI |
2008 |
23 |
Symbolic Classification of General Multi-Player Games.
|
ECAI |
2008 |
3 |
External Memory Value Iteration.
|
ICAPS |
2007 |
10 |
Cost-Optimal Symbolic Planning with State Trajectory and Preference Constraints.
|
ECAI |
2006 |
9 |
Engineering Benchmarks for Planning: the Domains Used in the Deterministic Part of IPC-4.
|
JAIR |
2006 |
73 |
On the Compilation of Plan Constraints and Preferences.
|
ICAPS |
2006 |
73 |
Cost-Optimal External Planning.
|
AAAI |
2006 |
18 |
The Deterministic Part of IPC-4: An Overview.
|
JAIR |
2005 |
173 |
External Symbolic Heuristic Search with Pattern Databases.
|
ICAPS |
2005 |
31 |
Cost-Algebraic Heuristic Search.
|
AAAI |
2005 |
26 |
Taming Numbers and Durations in the Model Checking Integrated Planning System.
|
JAIR |
2003 |
97 |
Directed Automated Theorem Proving.
|
LPAR |
2002 |
2 |
Time complexity of iterative-deepening-A
|
Artificial Intelligence |
2001 |
0 |
Updating Shortest Paths.
|
ECAI |
1998 |
19 |