Learning Interpretable, High-Performing Policies for Autonomous Driving

Learning Interpretable, High-Performing Policies for Autonomous Driving

4 February 2022

Rohan R. Paleja

Matthew C. Gombolay

Papers citing "Learning Interpretable, High-Performing Policies for Autonomous Driving"

14 / 14 papers shown

Title
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
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search Emir Demirović Christian Schilling Anna Lukina 37 0 0 08 Jan 2025
Optimizing Interpretable Decision Tree Policies for Reinforcement Learning D. Vos Sicco Verwer OffRL 21 2 0 21 Aug 2024
KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination Yin Gu Qi Liu Zhi Li Kai Zhang 31 0 0 08 Aug 2024
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems Rohan R. Paleja Michael Munje K. Chang Reed Jensen Matthew C. Gombolay 32 2 0 07 Jun 2024
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder Anass Bairouk Mirjana Maras Simon Herlin Alexander Amini Marc Blanchon Ramin Hasani Patrick Chareyre Daniela Rus 26 4 0 02 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 66 6 0 18 Mar 2024
A Review of Communicating Robot Learning during Human-Robot Interaction Soheil Habibian Antonio Alvarez Valdivia Laura H. Blumenschein Dylan P. Losey 21 5 0 01 Dec 2023
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
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 19 128 0 21 Dec 2021
Evolutionary learning of interpretable decision trees Leonardo Lucio Custode Giovanni Iacca OffRL 19 40 0 14 Dec 2020
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 46 195 0 06 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 242 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 226 1,835 0 03 Feb 2017