Discovering State and Action Abstractions for Generalized Task and Motion Planning
AAAI'22, 2022. [All Versions].
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
Integrated Task and Motion Planning annualreviews.org
Annual Review of Control, Robotics, and Autonomous Systems, 2021. [All Versions]. The problem of planning for a robot that operates in environments containing a large number of objects, taking actions to move itself through the world as well as to change the state of the…
-
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation export.arxiv.org
2020. [All Versions].
-
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution arxiv.org
CVPR'21, 2021. [All Versions].
-
Theory of Minds: Understanding Behavior in Groups through Inverse Planning aaai.org
AAAI'19, 2019. [All Versions]. Towards the goal of building machine-learning algorithms with human-like social intelligence, this paper develops a generative model of multiagent action understanding based on a novel representation for these latent relationships called…
-
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning jair.org
Journal of Artificial Intelligence Research, 2018. [All Versions]. This work considers the problem of constructing abstract representations for planning in high-dimensional, continuous environments. The authors assume an agent equipped with a collection of high-level actions…
-
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception ojs.aaai.org
AAAI'21, 2021. [All Versions]. [Project].
AGI & CoCoSci › Papers > Problem Solving > Planning: “AAAI'22, 2022. [All Versions].”