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2311.10041
Cited By
Interpretable Reinforcement Learning for Robotics and Continuous Control
16 November 2023
Rohan R. Paleja
Letian Chen
Yaru Niu
Andrew Silva
Zhaoxin Li
Songan Zhang
Chace Ritchie
Sugju Choi
K. Chang
H. E. Tseng
Yan Wang
S. Nageshrao
Matthew C. Gombolay
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Papers citing
"Interpretable Reinforcement Learning for Robotics and Continuous Control"
9 / 9 papers shown
Title
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
Ahmed Abouelazm
Jonas Michel
Helen Gremmelmaier
Tim Joseph
Philip Schorner
Johann Marius Zöllner
19
0
0
10 May 2025
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models
Zhaoxin Li
Zhang Xi-Jia
Batuhan Altundas
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
OffRL
41
0
0
20 Mar 2025
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze
Laura Ferrarotti
Leonardo Lucio Custode
Bruno Lepri
Giovanni Iacca
MoE
OffRL
66
1
0
17 Dec 2024
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Carlo Bosio
Mark W. Mueller
24
0
0
07 Oct 2024
Exploring Personality-Driven Personalization in XAI: Enhancing User Trust in Gameplay
Zhaoxin Li
Sophie Yang
Shijie Wang
23
1
0
08 Aug 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
24
6
0
12 Apr 2024
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan R. Paleja
Muyleng Ghuy
Nadun R. Arachchige
Reed Jensen
Matthew C. Gombolay
70
63
0
08 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,681
0
28 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
224
1,835
0
03 Feb 2017
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