Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization

17 November 2020

Papers citing "Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization"

8 / 8 papers shown

Title
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 34 2 0 24 Sep 2024
A Generalized Acquisition Function for Preference-based Reward Learning Evan Ellis Gaurav R. Ghosal Stuart J. Russell Anca Dragan Erdem Biyik 42 2 0 09 Mar 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 36 6 0 07 Jun 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 39 22 0 02 Mar 2023
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication Kaiqi Chen J. Fong Harold Soh 27 10 0 06 Mar 2022
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 18 41 0 27 Oct 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 111 0 20 Oct 2020