Explaining Imitation Learning through Frames

Explaining Imitation Learning through Frames

3 January 2023

Jianlong Zhou

ArXiv (abs)PDF HTML

Papers citing "Explaining Imitation Learning through Frames"

17 / 17 papers shown

Title
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 66 3 0 30 Mar 2022
Imitation Learning: Progress, Taxonomies and Challenges Boyuan Zheng Sunny Verma Jianlong Zhou Ivor Tsang Fang Chen 169 86 0 23 Jun 2021
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring Dandan Zhang Yu Zheng Qiang Li Lei Wei Dongsheng Zhang Zhengyou Zhang 49 31 0 16 May 2021
Modelling Agent Policies with Interpretable Imitation Learning Tom Bewley J. Lawry Arthur G. Richards 51 8 0 19 Jun 2020
Sample Efficient Reinforcement Learning through Learning from Demonstrations in Minecraft Christian Scheller Yanick Schraner Manfred Vogel 69 27 0 12 Mar 2020
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 106 361 0 27 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 62 546 0 18 Apr 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 93 358 0 12 Apr 2019
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 125 683 0 28 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 188 1,176 0 19 Jun 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 115 732 0 04 May 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 70 361 0 05 Feb 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 138 140 0 20 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 547 19,296 0 20 Jul 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 162 3,125 0 10 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 225 5,087 0 05 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016