Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear
Decision Trees for Discrete Action Systems

Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems

20 September 2020

Yashesh D. Dhebar

Papers citing "Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action Systems"

19 / 19 papers shown

Title
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 52 3 0 28 Nov 2022
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems Yashesh D. Dhebar Kalyanmoy Deb 11 26 0 02 Aug 2020
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration Ritesh Noothigattu Djallel Bouneffouf Nicholas Mattei Rachita Chandra Piyush Madan Kush R. Varshney Murray Campbell Moninder Singh F. Rossi AI4CE 28 23 0 21 Sep 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 30 135 0 16 Jul 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 99 331 0 22 May 2018
Programmatically Interpretable Reinforcement Learning Abhinav Verma V. Murali Rishabh Singh Pushmeet Kohli Swarat Chaudhuri 89 349 0 06 Apr 2018
Interpretable Policies for Reinforcement Learning by Genetic Programming D. Hein Steffen Udluft Thomas Runkler OffRL 18 131 0 12 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 181 18,685 0 20 Jul 2017
Interpretability via Model Extraction Osbert Bastani Carolyn Kim Hamsa Bastani FAtt 41 129 0 29 Jun 2017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Ankur Sinha P. Malo Kalyanmoy Deb 19 751 0 17 May 2017
GENESIM: genetic extraction of a single, interpretable model Gilles Vandewiele Olivier Janssens F. Ongenae F. Turck Sofie Van Hoecke 18 34 0 17 Nov 2016
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 38 79 0 19 Oct 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 48 1,888 0 28 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 47 3,672 0 10 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 138 8,805 0 04 Feb 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 78 7,590 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 109 13,174 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 206 6,722 0 19 Feb 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 72 3,196 0 02 Nov 2010

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