Interpretable and Personalized Apprenticeship Scheduling: Learning
Interpretable Scheduling Policies from Heterogeneous User Demonstrations

Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations

14 June 2019

Rohan R. Paleja

Matthew C. Gombolay

Papers citing "Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations"

16 / 16 papers shown

Title
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 37 7 0 16 Nov 2023
Learning Models of Adversarial Agent Behavior under Partial Observability Sean Ye Manisha Natarajan Zixuan Wu Rohan R. Paleja Letian Chen Matthew C. Gombolay AAML 48 6 0 19 Jun 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 17 53 0 03 Jan 2023
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings Andrew Silva Pradyumna Tambwekar Matthew C. Gombolay FedML 19 0 0 07 Oct 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations Letian Chen Sravan Jayanthi Rohan R. Paleja Daniel Martin Viacheslav Zakharov Matthew C. Gombolay 22 15 0 24 Sep 2022
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming Rohan R. Paleja Muyleng Ghuy Nadun R. Arachchige Reed Jensen Matthew C. Gombolay 83 63 0 08 Sep 2022
Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks Steve Paul P. Ghassemi Souma Chowdhury 29 22 0 06 May 2022
FedEmbed: Personalized Private Federated Learning Andrew Silva Katherine Metcalf N. Apostoloff B. Theobald FedML 21 6 0 18 Feb 2022
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration Sravan Jayanthi Letian Chen Matthew C. Gombolay 30 0 0 14 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 27 16 0 04 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 398 0 20 Jan 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 36 11 0 05 Jan 2022
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration Letian Chen Rohan R. Paleja Matthew C. Gombolay 13 2 0 08 Oct 2021
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings Mariah L. Schrum Erin K. Hedlund Matthew C. Gombolay 26 5 0 07 Oct 2021
Offline Preference-Based Apprenticeship Learning Daniel Shin Daniel S. Brown Anca D. Dragan OffRL 30 17 0 20 Jul 2021
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen Rohan R. Paleja Matthew C. Gombolay SSL 6 104 0 17 Oct 2020