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2002.06432
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PDDLGym: Gym Environments from PDDL Problems
15 February 2020
Tom Silver
Rohan Chitnis
AI4CE
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Papers citing
"PDDLGym: Gym Environments from PDDL Problems"
41 / 41 papers shown
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138
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126
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Juchul Shin
YeonJe Cho
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Seongwoo Kim
168
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16 Aug 2025
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Michele Brienza
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Daniele Nardi
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272
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18 Jun 2025
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
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158
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350
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Jinwoo Park
Sanghyun Ahn
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An Extensive Evaluation of PDDL Capabilities in off-the-shelf LLMs
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Sébastien Montella
Pavlos Vougiouklis
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Yang Ren
Jeff Z. Pan
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429
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Kurt Driessens
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495
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22 Dec 2024
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Nir Lipovetzky
Trevor Cohn
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171
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Yuchen Liu
Luigi Palmieri
Sebastian Koch
Ilche Georgievski
Marco Aiello
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647
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241
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Junlei Zhang
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Lingpeng Kong
Junxian He
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285
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George Konidaris
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282
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0
20 Dec 2023
Vision-Language Interpreter for Robot Task Planning
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Keisuke Shirai
C. C. Beltran-Hernandez
Masashi Hamaya
Atsushi Hashimoto
Shohei Tanaka
Kento Kawaharazuka
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Yoshitaka Ushiku
Shinsuke Mori
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410
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Mark Bercasio
Allison E. Wong
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136
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Gonzalo Gonzalez-Pumariega
Yash Sharma
Sanjiban Choudhury
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463
54
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26 May 2023
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Yoonchang Sung
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Peter Stone
187
4
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Michael Gimelfarb
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537
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Explainable Reinforcement Learning via Model Transforms
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Lucy Liu
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David C. Parkes
Jeffrey S. Rosenshein
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222
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TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
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Christopher Agia
Krishna Murthy Jatavallabhula
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Mustafa Mukadam
Liam Paull
Florian Shkurti
361
106
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Hector Geffner
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222
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191
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194
2
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Goal Recognition as Reinforcement Learning
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Reuth Mirsky
Felipe Meneguzzi
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165
21
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Neural NID Rules
Luca Viano
Johanni Brea
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297
0
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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Clement Gehring
Masataro Asai
Rohan Chitnis
Tom Silver
L. Kaelbling
Shirin Sohrabi
Michael Katz
OffRL
276
46
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30 Sep 2021
Learning Causal Models of Autonomous Agents using Interventions
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Siddharth Srivastava
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159
6
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Classical Planning in Deep Latent Space
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Hiroshi Kajino
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553
30
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Online Action Recognition
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Alejandro Suárez-Hernández
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Guillem Alenyà
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416
10
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Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
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Rohan Chitnis
Aidan Curtis
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423
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196
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427
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