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Discovering User-Interpretable Capabilities of Black-Box Planning Agents
28 July 2021
Pulkit Verma
Shashank Rao Marpally
Siddharth Srivastava
ELM
LLMAG
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Papers citing
"Discovering User-Interpretable Capabilities of Black-Box Planning Agents"
4 / 4 papers shown
Title
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Abrar Anwar
Rohan Gupta
Zain Merchant
Sayan Ghosh
Willie Neiswanger
Jesse Thomason
OffRL
67
1
0
14 Feb 2025
Learning Neuro-Symbolic Skills for Bilevel Planning
Tom Silver
Ashay Athalye
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
37
59
0
21 Jun 2022
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
S. Sreedharan
Utkarsh Soni
Mudit Verma
Siddharth Srivastava
S. Kambhampati
73
30
0
04 Feb 2020
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
1