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Concept Learning for Interpretable Multi-Agent Reinforcement Learning

Concept Learning for Interpretable Multi-Agent Reinforcement Learning

23 February 2023
Renos Zabounidis
Joseph Campbell
Simon Stepputtis
Dana Hughes
Katia P. Sycara
ArXivPDFHTML

Papers citing "Concept Learning for Interpretable Multi-Agent Reinforcement Learning"

14 / 14 papers shown
Title
Model-Agnostic Policy Explanations with Large Language Models
Model-Agnostic Policy Explanations with Large Language Models
Zhang Xi-Jia
Yue (Sophie) Guo
Shufei Chen
Simon Stepputtis
Matthew C. Gombolay
Katia P. Sycara
Joseph Campbell
LM&Ro
LRM
57
0
0
08 Apr 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
46
0
0
24 Feb 2025
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
Zeyu Jiang
Hai Huang
Xingquan Zuo
OffRL
57
0
0
02 Feb 2025
Robot Behavior Personalization from Sparse User Feedback
Robot Behavior Personalization from Sparse User Feedback
Maithili Patel
Sonia Chernova
36
2
0
25 Oct 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
55
18
0
11 Jan 2024
Benchmarking and Enhancing Disentanglement in Concept-Residual Models
Benchmarking and Enhancing Disentanglement in Concept-Residual Models
Renos Zabounidis
Ini Oguntola
Konghao Zhao
Joseph Campbell
Simon Stepputtis
Katia P. Sycara
33
1
0
30 Nov 2023
Understanding Your Agent: Leveraging Large Language Models for Behavior
  Explanation
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation
Xijia Zhang
Yue (Sophie) Guo
Simon Stepputtis
Katia P. Sycara
Joseph Campbell
LLMAG
LM&Ro
28
1
0
29 Nov 2023
Explaining Agent Behavior with Large Language Models
Explaining Agent Behavior with Large Language Models
Xijia Zhang
Yue (Sophie) Guo
Simon Stepputtis
Katia P. Sycara
Joseph Campbell
LM&Ro
LLMAG
38
6
0
19 Sep 2023
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement
  Learning
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Ini Oguntola
Joseph Campbell
Simon Stepputtis
Katia P. Sycara
36
8
0
03 Jul 2023
Introspective Action Advising for Interpretable Transfer Learning
Introspective Action Advising for Interpretable Transfer Learning
Joseph Campbell
Yue (Sophie) Guo
Fiona Xie
Simon Stepputtis
Katia P. Sycara
33
1
0
21 Jun 2023
Sample-Efficient Learning of Novel Visual Concepts
Sample-Efficient Learning of Novel Visual Concepts
Sarthak Bhagat
Simon Stepputtis
Joseph Campbell
Katia P. Sycara
51
8
0
15 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
33
14
0
17 May 2023
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis
Joseph Campbell
Mariano Phielipp
Stefan Lee
Chitta Baral
H. B. Amor
LM&Ro
124
193
0
22 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
1