Adrian Pearce

Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning (Extended Abstract)

Stefan O'Toole, Miquel Ramirez, Nir Lipovetzky, Adrian R Pearce

Journal article  |  2022  |  Proceedings of the International Symposium on Combinatorial Search

We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined he..

Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark

Stefan O'Toole, Nir Lipovetzky, Miquel Ramirez, Adrian Pearce

Conference Proceedings  |  2021  |  Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021)

We propose new width-based planning and learning algorithms applied over the Atari-2600 benchmark. The algorithms presented are in..

Efficient multi-agent epistemic planning: Teaching planners about nested belief

Christian Muise, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian R Pearce, Liz Sonenberg

Journal article  |  2021  |  ARTIFICIAL INTELLIGENCE

Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own belie..

Inventory routing for defense: Moving supplies in adversarial and partially observable environments

Michelle Blom, Slava Shekh, Don Gossink, Tim Miller, Adrian R Pearce

Journal article  |  2020  |  JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS

Future defense logistics will be heavily reliant on autonomous vehicles for the transportation of supplies. We consider a dynamic ..

Short-term planning for open pit mines: a review

Michelle Blom, Adrian R Pearce, Peter J Stuckey

Journal article  |  2019  |  INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT

This review examines the current state-of-the-art in short-term planning for open-pit mines, with a granularity that spans days, w..

Width-Based Lookaheads Augmented with Base Policies for Stochastic Shortest Paths

Stefan O’Toole, Miquel Ramirez, Nir Lipovetzky, Adrian Pearce

Conference Proceedings  |  2019  |  Proceedings of the 29th International Conference on Automated Planning and Scheduling

Sequential decision problems for real-world applications often need to be solved in real-time, requiring algorithms to perform wel..

Multi-objective short-term production scheduling for open-pit mines: a hierarchical decomposition-based algorithm

Michelle Blom, Adrian R Pearce, Peter J Stuckey

Journal article  |  2018  |  ENGINEERING OPTIMIZATION

This article presents a novel algorithm for solving a short-term open-pit production-scheduling problem in which several objective..

Social Planning for Trusted Autonomy

Tim Miller, Adrian R Pearce, Liz Sonenberg

Book Chapter  |  2018  |  Studies in Systems, Decision and Control

In this chapter, we describe social planning mechanisms for constructing and representing explainable plans in human-agent interac..

Action Selection for Transparent Planning

Aleck M MacNally, Nir Lipovetzky, Miquel Ramirez, Adrian R Pearce

Conference Proceedings  |  2018  |  Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

We introduce a novel framework to formalize and solve transparent planning tasks by executing actions selected in a suitable and t..

Integrated Hybrid Planning and Programmed Control for Real–Time UAV Maneuvering

Miquel Ramirez, Michael Papasimeon, Nir Lipovetzky, Lyndon Benke, Tim Miller, Adrian R Pearce, Enrico Scala, Mohammad Zamani

Conference Proceedings  |  2018  |  Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

The automatic generation of realistic behaviour such as tactical intercepts for Unmanned Aerial Vehicles (UAV) in air combat is a ..