Bayesian Policy Optimization for Model Uncertainty

1 October 2018

Papers citing "Bayesian Policy Optimization for Model Uncertainty"

8 / 8 papers shown

Title
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 34 3 0 30 Oct 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach Zohar Rimon Aviv Tamar Gilad Adler OOD OffRL 41 8 0 21 Jun 2022
Uncertainty Aware System Identification with Universal Policies B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh 35 3 0 11 Feb 2022
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 31 14 0 18 Feb 2021
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 37 64 0 18 Jun 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 40 7 0 07 Feb 2020
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 36 129 0 23 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 18 272 0 18 Oct 2019