activity
20142026
most citedGeneralized Planning With Deep Reinforcement Learning

24 citations · 39 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Optimal Planning in a Dynamic World

Devin Wild Thomas, Solomon Eyal Shimony, Wheeler Ruml +3

Background: We address the problem of planning when the set of feasible states or actions changes over time. For example, in the problem of path planning among moving obstacles (so…

cs.AI2024

Planning and Acting While the Clock Ticks

Andrew Coles, Erez Karpas, Andrey Lavrinenko +3

Standard temporal planning assumes that planning takes place offline and then execution starts at time 0. Recently, situated temporal planning was introduced, where planning starts…

cs.AI2023★ 3 cited

A Formal Metareasoning Model of Concurrent Planning and Execution

Amihay Elboher, Ava Bensoussan, Erez Karpas +3

Agents that plan and act in the real world must deal with the fact that time passes as they are planning. When timing is tight, there may be insufficient time to complete the searc…

cs.AI2020★ 24 cited

Generalized Planning With Deep Reinforcement Learning

Or Rivlin, Tamir Hazan, Erez Karpas

A hallmark of intelligence is the ability to deduce general principles from examples, which are correct beyond the range of those observed. Generalized Planning deals with finding…

cs.AI2018

Automated Tactical Decision Planning Model with Strategic Values Guidance for Local Action-Value-Ambiguity

Daniel Muller, Erez Karpas

In many real-world planning problems, action's impact differs with a place, time and the context in which the action is applied. The same action with the same effects in a differen…

cs.AI2014★ 5 cited

Online Speedup Learning for Optimal Planning

Carmel Domshlak, Erez Karpas, Shaul Markovitch

Domain-independent planning is one of the foundational areas in the field of Artificial Intelligence. A description of a planning task consists of an initial world state, a goal, a…