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Relevance Score: A Landmark-Like Heuristic for Planning
Oliver Kim, Mohan Sridharan
Landmarks are facts or actions that appear in all valid solutions of a planning problem. They have been used successfully to calculate heuristics that guide the search for a plan.…
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork
Hasra Dodampegama, Mohan Sridharan
Ad hoc teamwork refers to the problem of enabling an agent to collaborate with teammates without prior coordination. Data-driven methods represent the state of the art in ad hoc te…
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamwork
Hasra Dodampegama, Mohan Sridharan
We present an architecture for ad hoc teamwork, which refers to collaboration in a team of agents without prior coordination. State of the art methods for this problem often includ…
KR: An Architecture for Knowledge Representation and Reasoning in Robotics
Shiqi Zhang, Mohan Sridharan, Michael Gelfond +1
This paper describes an architecture that combines the complementary strengths of declarative programming and probabilistic graphical models to enable robots to represent, reason w…