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PushWorld: A benchmark for manipulation planning with tools and movable
  obstacles

PushWorld: A benchmark for manipulation planning with tools and movable obstacles

24 January 2023
Ken Kansky
Skanda Vaidyanath
Scott Swingle
Xinghua Lou
Miguel Lazaro-Gredilla
Dileep George
ArXivPDFHTML

Papers citing "PushWorld: A benchmark for manipulation planning with tools and movable obstacles"

5 / 5 papers shown
Title
Graph Learning for Numeric Planning
Graph Learning for Numeric Planning
Dillon Z. Chen
Sylvie Thiébaux
42
0
0
08 Jan 2025
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via
  Planning and Learning
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning
Alexey Skrynnik
Anton Andreychuk
Maria Nesterova
Konstantin Yakovlev
Aleksandr I. Panov
17
17
0
02 Oct 2023
LISA: Learning Interpretable Skill Abstractions from Language
LISA: Learning Interpretable Skill Abstractions from Language
Divyansh Garg
Skanda Vaidyanath
Kuno Kim
Jiaming Song
Stefano Ermon
LM&Ro
OffRL
150
29
0
28 Feb 2022
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
457
0
10 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
284
11,681
0
09 Mar 2017
1