Real-Time Model Calibration with Deep Reinforcement Learning

Real-Time Model Calibration with Deep Reinforcement Learning

7 June 2020

Chetan S. Kulkarni

Olga Fink

Papers citing "Real-Time Model Calibration with Deep Reinforcement Learning"

17 / 17 papers shown

Title
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 186 0 0 20 Jan 2025
Actor-Critic Reinforcement Learning for Control with Stability Guarantee Minghao Han Lixian Zhang Jun Wang Wei Pan 51 110 0 29 Apr 2020
$$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee$ $H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 44 26 0 07 Nov 2019
A neural network-based framework for financial model calibration Shuaiqiang Liu Anastasia Borovykh L. Grzelak C. Oosterlee 67 103 0 23 Apr 2019
Iterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie Zhaoming Xie Patrick Clary Jeremy Dao Pedro Morais J. Hurst M. van de Panne 55 67 0 22 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 78 656 0 19 Mar 2019
Learning agile and dynamic motor skills for legged robots Jemin Hwangbo Joonho Lee Alexey Dosovitskiy Dario Bellicoso Vassilios Tsounis V. Koltun Marco Hutter 103 1,309 0 24 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,425 0 13 Dec 2018
Variational Calibration of Computer Models Sébastien Marmin Maurizio Filippone 28 5 0 29 Oct 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 76 672 0 02 May 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,951 0 19 Sep 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Learning Dexterous Manipulation Policies from Experience and Imitation Vikash Kumar Abhishek Gupta E. Todorov Sergey Levine 70 84 0 15 Nov 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
On Particle Methods for Parameter Estimation in State-Space Models N. Kantas Arnaud Doucet Sumeetpal S. Singh J. Maciejowski Nicolas Chopin 61 434 0 30 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 127 1,181 0 02 Nov 2012