Verifiable Reinforcement Learning via Policy Extraction

22 May 2018

Papers citing "Verifiable Reinforcement Learning via Policy Extraction"

50 / 167 papers shown

Title
InnateCoder: Learning Programmatic Options with Foundation Models Rubens O. Moraes Quazi Asif Sadmine Hendrik Baier Levi H. S. Lelis OffRL 9 0 0 18 May 2025
Towards Cognitive Collaborative Robots: Semantic-Level Integration and Explainable Control for Human-Centric Cooperation Jaehong Oh 17 0 0 02 May 2025
Model-Agnostic Policy Explanations with Large Language Models Zhang Xi-Jia Yue (Sophie) Guo Shufei Chen Simon Stepputtis Matthew C. Gombolay Katia Sycara Joseph Campbell LM&Ro LRM 59 0 0 08 Apr 2025
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement Martin Tappler Ignacio D. Lopez-Miguel Sebastian Tschiatschek Ezio Bartocci 66 0 0 13 Mar 2025
SySLLM: Generating Synthesized Policy Summaries for Reinforcement Learning Agents Using Large Language Models Sahar Admoni Omer Ben-Porat Ofra Amir LLMAG 54 0 0 13 Mar 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 83 2 0 18 Feb 2025
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search Emir Demirović Christian Schilling Anna Lukina 47 0 0 08 Jan 2025
Explainable Reinforcement Learning for Formula One Race Strategy Devin Thomas Junqi Jiang Avinash Kori Aaron Russo Steffen Winkler Stuart Sale Joseph McMillan Francesco Belardinelli Antonio Rago LRM 35 0 0 07 Jan 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 81 1 0 17 Dec 2024
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks Yongyan Wen Siyuan Li Rongchang Zuo Lei Yuan Hangyu Mao P. Liu 69 0 0 19 Nov 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers Kai Yan Alex Schwing Yu-xiong Wang OffRL OnRL 41 0 0 31 Oct 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen Hanhan Zhou Yongsheng Mei Carlee Joe-Wong Gina Adam Nathaniel D. Bastian Tian-Shing Lan OffRL 30 0 0 21 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 29 2 0 18 Oct 2024
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces Tales H. Carvalho Kenneth Tjhia Levi H. S. Lelis 42 7 0 16 Oct 2024
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 166 1 0 14 Oct 2024
Optimizing Interpretable Decision Tree Policies for Reinforcement Learning D. Vos Sicco Verwer OffRL 34 2 0 21 Aug 2024
Vanilla Gradient Descent for Oblique Decision Trees Subrat Prasad Panda B. Genest Arvind Easwaran Ponnuthurai Nagaratnam Suganthan OffRL 29 1 0 17 Aug 2024
KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination Yin Gu Qi Liu Zhi Li Kai Zhang 36 0 0 08 Aug 2024
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming Manuel Eberhardinger Florian Rupp Johannes Maucher S. Maghsudi 38 0 0 20 Jul 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 52 3 0 11 Jul 2024
Inductive Generalization in Reinforcement Learning from Specifications Vignesh Subramanian Rohit Kushwah Subhajit Roy Suguman Bansal OffRL 41 0 0 05 Jun 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 55 4 0 26 May 2024
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction Ramya Ramalingam Sangdon Park Osbert Bastani 36 1 0 24 May 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search Nicola Dainese Matteo Merler Minttu Alakuijala Pekka Marttinen LLMAG 44 9 0 24 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning Arko Banerjee Kia Rahmani Joydeep Biswas Işıl Dillig 49 2 0 22 May 2024
Searching for Programmatic Policies in Semantic Spaces Rubens O. Moraes Levi H. S. Lelis 40 4 0 08 May 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 40 0 0 16 Apr 2024
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling Boyang Li Zhiling Lan M. Papka OffRL 23 0 0 24 Mar 2024
Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression Fernando Acero Zhibin Li OffRL 38 1 0 21 Mar 2024
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control Zhiyu An Xianzhong Ding Wan Du OffRL AI4CE 38 8 0 29 Feb 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy Shaoteng Liu Haoqi Yuan Minda Hu Yanwei Li Yukang Chen Shu Liu Zongqing Lu Jiaya Jia LLMAG 48 16 0 29 Feb 2024
Reward Design for Justifiable Sequential Decision-Making A. Sukovic Goran Radanović 32 0 0 24 Feb 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques Yu Xiong Zhipeng Hu Ye Huang Runze Wu Kai Guan ... Tianze Zhou Yujing Hu Haoyu Liu Tangjie Lyu Changjie Fan OffRL 62 1 0 20 Feb 2024
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions Xiao Liu Jie Zhao Wubing Chen Mao Tan Yongxin Su OffRL FAtt 33 0 0 14 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 60 18 0 11 Jan 2024
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence Justus Renkhoff Ke-ke Feng Marc Meier-Doernberg Alvaro Velasquez Houbing Herbert Song 34 8 0 06 Jan 2024
A Review of Communicating Robot Learning during Human-Robot Interaction Soheil Habibian Antonio Alvarez Valdivia Laura H. Blumenschein Dylan P. Losey 34 6 0 01 Dec 2023
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LLMAG LM&Ro 39 1 0 29 Nov 2023
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture Jingdi Chen Lei Zhang Joseph Riem Gina Adam Nathaniel D. Bastian Tian-Shing Lan 13 9 0 27 Nov 2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines Yu-An Lin Chen-Tao Lee Guanhui. Liu Pu-Jen Cheng Shao-Hua Sun 27 0 0 27 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control Rohan R. Paleja Letian Chen Yaru Niu Andrew Silva Zhaoxin Li ... K. Chang H. E. Tseng Yan Wang S. Nageshrao Matthew C. Gombolay 39 7 0 16 Nov 2023
Assessing the Interpretability of Programmatic Policies with Large Language Models Zahra Bashir Michael Bowling Levi H. S. Lelis ELM 21 3 0 12 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo Rui Zhang Shaohui Peng Qi Yi Xingui Hu ... Zidong Du Xishan Zhang Ling Li Qi Guo Yunji Chen OffRL 30 5 0 02 Nov 2023
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 29 2 0 17 Oct 2023
Program Synthesis with Best-First Bottom-Up Search Saqib Ameen Levi H. S. Lelis 205 7 0 06 Oct 2023
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs Hector Kohler R. Akrour Philippe Preux OffRL 48 2 0 23 Sep 2023
Explaining Agent Behavior with Large Language Models Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LM&Ro LLMAG 38 6 0 19 Sep 2023
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning Xiao Liu Wubing Chen Mao Tan 16 2 0 12 Sep 2023