no code implementations • 16 Feb 2024 • Chenyuan Zhang, Charles Kemp, Nir Lipovetzky
Goal recognition is a fundamental cognitive process that enables individuals to infer intentions based on available cues.
1 code implementation • 15 Jan 2024 • Chao Lei, Nir Lipovetzky, Krista A. Ehinger
The Abstraction and Reasoning Corpus (ARC) is a general artificial intelligence benchmark that poses difficulties for pure machine learning methods due to its requirement for fluid intelligence with a focus on reasoning and abstraction.
no code implementations • 15 Sep 2023 • Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardina, Ying Tan, Nick van Beest
A transhumeral prosthesis restores missing anatomical segments below the shoulder, including the hand.
no code implementations • 25 Aug 2023 • Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky
Diverse, top-k, and top-quality planning are concerned with the generation of sets of solutions to sequential decision problems.
no code implementations • 17 Jul 2023 • Anubhav Singh, Miquel Ramirez, Nir Lipovetzky, Peter J. Stuckey
This paper studies the possibilities made open by the use of Lazy Clause Generation (LCG) based approaches to Constraint Programming (CP) for tackling sequential classical planning.
no code implementations • 3 Jul 2023 • Chao Lei, Nir Lipovetzky, Krista A. Ehinger
It has been shown recently that successful techniques in classical planning, such as goal-oriented heuristics and landmarks, can improve the ability to compute planning programs for generalized planning (GP) problems.
1 code implementation • 26 May 2023 • Sukai Huang, Nir Lipovetzky, Trevor Cohn
Teaching agents to follow complex written instructions has been an important yet elusive goal.
no code implementations • 7 Jul 2022 • Stefan O'Toole, Miquel Ramirez, Nir Lipovetzky, Adrian R. Pearce
We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined heuristic functions for classical planning problems.
no code implementations • NeurIPS 2021 • Stefan O'Toole, Nir Lipovetzky, Miquel Ramirez, Adrian Pearce
We propose new width-based planning and learning algorithms inspired from a careful analysis of the design decisions made by previous width-based planners.
no code implementations • 9 Jun 2021 • Nir Lipovetzky
Width-based algorithms search for solutions through a general definition of state novelty.
no code implementations • 17 May 2021 • Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas
Width-based search algorithms seek plans by prioritizing states according to a suitably defined measure of novelty, that maps states into a set of novelty categories.
1 code implementation • 11 Aug 2020 • Gang Chen, Yi Ding, Hugo Edwards, Chong Hin Chau, Sai Hou, Grace Johnson, Mohammed Sharukh Syed, Haoyuan Tang, Yue Wu, Ye Yan, Gil Tidhar, Nir Lipovetzky
Planimation is a modular and extensible open source framework to visualise sequential solutions of planning problems specified in PDDL.
no code implementations • 18 Jun 2019 • Alfonso E. Gerevini, Nir Lipovetzky, Nico Peli, Francesco Percassi, Alessandro Saetti, Ivan Serina
In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the individual agents.
no code implementations • 10 Jun 2019 • Alfonso E. Gerevini, Nir Lipovetzky, Francesco Percassi, Alessandro Saetti, Ivan Serina
In multi-agent planning, preserving the agents' privacy has become an increasingly popular research topic.
no code implementations • 28 Mar 2019 • Guang Hu, Tim Miller, Nir Lipovetzky
Epistemic planning --- planning with knowledge and belief --- is essential in many multi-agent and human-agent interaction domains.