Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits

28 June 2021

Papers citing "Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits"

7 / 7 papers shown

Title
Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning Ziteng Cheng Anthony Coache S. Jaimungal 18 0 0 16 Aug 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 21 50 0 12 Jun 2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning Arundhati Banerjee Soham R. Phade Stefano Ermon Stephan Zheng OffRL 17 1 0 10 Apr 2023
Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning Tung Nguyen Qinqing Zheng Aditya Grover OffRL 19 6 0 11 Oct 2022
Generative Pretraining for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover OffRL AI4CE 35 26 0 22 Jun 2022
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection Peter Henderson Ben Chugg Brandon R. Anderson Kristen M. Altenburger Alex Turk J. Guyton Jacob Goldin Daniel E. Ho OffRL 16 9 0 25 Apr 2022
Inverse Contextual Bandits: Learning How Behavior Evolves over Time Alihan Huyuk Daniel Jarrett M. Schaar CML OffRL 22 11 0 13 Jul 2021