Counterfactual States for Atari Agents via Generative Deep Learning

Counterfactual States for Atari Agents via Generative Deep Learning

27 September 2019

Matthew Lyle Olson

Papers citing "Counterfactual States for Atari Agents via Generative Deep Learning"

16 / 16 papers shown

Title
Backward explanations via redefinition of predicates Léo Saulières Martin C. Cooper F. D. D. S. Cyr 19 0 0 05 Aug 2024
Personalized Path Recourse for Reinforcement Learning Agents Dat Hong Tong Wang 20 0 0 14 Dec 2023
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation Andi Peng Aviv Netanyahu Mark K. Ho Tianmin Shu Andreea Bobu J. Shah Pulkit Agrawal 20 14 0 12 Jul 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 32 3 0 08 Mar 2023
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 43 6 0 21 Mar 2022
Causal Robot Communication Inspired by Observational Learning Insights Zhao Han Boyoung Kim Holly Yanco T. Williams CML 14 2 0 17 Mar 2022
Explaining Reinforcement Learning Policies through Counterfactual Trajectories Julius Frost Olivia Watkins Eric Weiner Pieter Abbeel Trevor Darrell Bryan A. Plummer Kate Saenko OffRL 36 5 0 29 Jan 2022
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations Kin-Ho Lam Zhengxian Lin Jed Irvine Jonathan Dodge Zeyad Shureih Roli Khanna Minsuk Kahng Alan Fern 16 7 0 28 Sep 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 27 146 0 26 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning Matthew Lyle Olson Roli Khanna Lawrence Neal Fuxin Li Weng-Keen Wong CML 24 69 0 29 Jan 2021
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 34 69 0 22 Dec 2020
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Zhengxian Lin Kim-Ho Lam Alan Fern SSL 22 24 0 11 Oct 2020
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 27 112 0 26 Feb 2020
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 16 90 0 09 Dec 2019