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PDDLGym: Gym Environments from PDDL Problems
v1v2 (latest)

PDDLGym: Gym Environments from PDDL Problems

15 February 2020
Tom Silver
Rohan Chitnis
    AI4CE
ArXiv (abs)PDFHTMLGithub (236★)

Papers citing "PDDLGym: Gym Environments from PDDL Problems"

15 / 15 papers shown
Title
Cost-Augmented Monte Carlo Tree Search for LLM-Assisted Planning
Cost-Augmented Monte Carlo Tree Search for LLM-Assisted Planning
Zihao Zhang
Fei Liu
90
0
0
20 May 2025
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
Wonje Choi
Jinwoo Park
Sanghyun Ahn
Daehee Lee
Honguk Woo
445
1
0
02 Mar 2025
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
Yuchen Liu
Luigi Palmieri
Sebastian Koch
Ilche Georgievski
Marco Aiello
LM&Ro
142
20
0
04 Apr 2024
pyRDDLGym: From RDDL to Gym Environments
pyRDDLGym: From RDDL to Gym Environments
Ayal Taitler
Michael Gimelfarb
Jihwan Jeong
Sriram Gopalakrishnan
Martin Mladenov
Xiaotian Liu
Scott Sanner
130
10
0
11 Nov 2022
Explainable Reinforcement Learning via Model Transforms
Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein
Lucy Liu
Nitsan Levy Schlot
Y. Kolumbus
David C. Parkes
Jeffrey S. Rosenshein
Sarah Keren
83
14
0
24 Sep 2022
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
Christopher Agia
Krishna Murthy Jatavallabhula
M. Khodeir
O. Mikšík
Vibhav Vineet
Mustafa Mukadam
Liam Paull
Florian Shkurti
101
72
0
11 Jul 2022
Learning First-Order Symbolic Planning Representations That Are Grounded
Learning First-Order Symbolic Planning Representations That Are Grounded
Andrés Occhipinti Liberman
Blai Bonet
Hector Geffner
NAI
54
7
0
25 Apr 2022
PG3: Policy-Guided Planning for Generalized Policy Generation
PG3: Policy-Guided Planning for Generalized Policy Generation
Ryan Yang
Tom Silver
Aidan Curtis
Tomas Lozano-Perez
L. Kaelbling
48
9
0
21 Apr 2022
Goal Recognition as Reinforcement Learning
Goal Recognition as Reinforcement Learning
L. Amado
Reuth Mirsky
Felipe Meneguzzi
OffRL
44
16
0
13 Feb 2022
Learning Causal Models of Autonomous Agents using Interventions
Learning Causal Models of Autonomous Agents using Interventions
Pulkit Verma
Siddharth Srivastava
CML
50
6
0
21 Aug 2021
Online Action Recognition
Online Action Recognition
Alejandro Suárez-Hernández
Javier Segovia Aguas
Carme Torras
Guillem Alenyà
OffRL
71
8
0
14 Dec 2020
Planning with Learned Object Importance in Large Problem Instances using
  Graph Neural Networks
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
GNN
93
80
0
11 Sep 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
78
26
0
01 Jul 2020
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Zhi-Xuan Tan
Jordyn L. Mann
Tom Silver
J. Tenenbaum
Vikash K. Mansinghka
OffRL
92
96
0
13 Jun 2020
GLIB: Efficient Exploration for Relational Model-Based Reinforcement
  Learning via Goal-Literal Babbling
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
Rohan Chitnis
Tom Silver
J. Tenenbaum
L. Kaelbling
Tomas Lozano-Perez
LM&Ro
133
4
0
22 Jan 2020
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