Artificial Intelligence
Learning to act using real-time dynamic programming
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
AI Magazine
An Admissible Heuristic Search Algorithm
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
Eighteenth national conference on Artificial intelligence
Controlling the learning process of real-time heuristic search
Artificial Intelligence
Performance bounds for planning in unknown terrain
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
A Comparison of Fast Search Methods for Real-Time Situated Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Speeding up learning in real-time search via automatic state abstraction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Learning in real-time search: a unifying framework
Journal of Artificial Intelligence Research
The focussed D* algorithm for real-time replanning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Graph abstraction in real-time heuristic search
Journal of Artificial Intelligence Research
Dynamic control in real-time heuristic search
Journal of Artificial Intelligence Research
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
On learning in agent-centered search
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
PAC-MDP learning with knowledge-based admissible models
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Case-based subgoaling in real-time heuristic search for video game pathfinding
Journal of Artificial Intelligence Research
Finding patterns in an unknown graph
AI Communications - The Symposium on Combinatorial Search
Avoiding and escaping depressions in real-time heuristic search
Journal of Artificial Intelligence Research
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Learning real-time search, which interleaves planning and acting, allows agents to learn from multiple trials and respond quickly. Such algorithms require no prior knowledge of the environment and can be deployed without pre-processing. We introduce Prioritized-LRTA* (P-LRTA*), a learning real-time search algorithm based on Prioritized Sweeping. P-LRTA* focuses learning on important areas of the search space, where the importance of a state is determined by the magnitude of the updates made to neighboring states. Empirical tests on path-planning in commercial game maps show a substantial learning speed-up over state-of-the-art real-time search algorithms.