Bayesian Policy Optimization for Model Uncertainty

1 October 2018

Papers citing "Bayesian Policy Optimization for Model Uncertainty"

24 / 24 papers shown

Title
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs Filippo Valdettaro A. Aldo Faisal OffRL 45 0 0 04 Jun 2024
Learning-based legged locomotion; state of the art and future perspectives Sehoon Ha Joonho Lee M. van de Panne Zhaoming Xie Wenhao Yu Majid Khadiv 53 17 0 03 Jun 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning Anthony Liang Guy Tennenholtz Chih-Wei Hsu Yinlam Chow Erdem Biyik Craig Boutilier OffRL 53 1 0 25 Feb 2024
Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty A. Sahu K. Davis 30 0 0 25 May 2023
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 49 3 0 30 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi Henry Lam Yue Liu Ding Zhao OOD 80 9 0 21 Oct 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach Zohar Rimon Aviv Tamar Gilad Adler OOD OffRL 52 8 0 21 Jun 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 35 18 0 14 Feb 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 46 9 0 14 Feb 2022
Uncertainty Aware System Identification with Universal Policies B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh 66 3 0 11 Feb 2022
Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification Sai Krishna Mendu S. Chakraborty BDL AI4CE 35 1 0 08 Nov 2021
Model Selection for Production System via Automated Online Experiments Zhenwen Dai Praveen Chandar G. Fazelnia Ben Carterette M. Lalmas 24 4 0 27 May 2021
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
Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks Peter Zachares Michelle A. Lee Wenzhao Lian Jeannette Bohg 28 19 0 07 Jan 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 74 1,888 0 12 Nov 2020
Bayes-Adaptive Deep Model-Based Policy Optimisation Tai Hoang Ngo Anh Vien BDL 29 1 0 29 Oct 2020
Offline Meta Learning of Exploration Ron Dorfman Idan Shenfeld Aviv Tamar OffRL 6 20 0 06 Aug 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 40 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 42 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 31 273 0 18 Oct 2019
Towards Effective Human-AI Teams: The Case of Collaborative Packing Gilwoo Lee Christoforos Mavrogiannis S. Srinivasa 13 2 0 14 Sep 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation Shuo Wang Yang Liu Chao Wang Huanbo Luan Maosong Sun UQLM 47 82 0 31 Aug 2019
An Active Learning Framework for Efficient Robust Policy Search Sai Kiran Narayanaswami N. Sudarsanam Balaraman Ravindran 16 0 0 01 Jan 2019