A Data-Driven State Aggregation Approach for Dynamic Discrete Choice
Models

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A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models

11 April 2023

Carlos A. Manzanares

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Papers citing "A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models"

9 / 9 papers shown

Title
Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals Melda Alaluf Giulia Crippa Sinong Geng Zijian Jing Nikhil Krishnan Sanjeev Kulkarni Wyatt Navarro R. Sircar Jonathan Tang 86 4 0 09 Mar 2024
Instance-optimal PAC Algorithms for Contextual Bandits Zhao Li Lillian J. Ratliff Houssam Nassif Kevin Jamieson Lalit P. Jain 58 18 0 05 Jul 2022
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad Banghua Zhu Cong Ma Jiantao Jiao Stuart J. Russell OffRL 218 289 0 22 Mar 2021
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error Sinong Geng Zhaobin Kuang Jie Liu S. Wright David Page 12 13 0 12 May 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 41 26 0 11 Apr 2020
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 228 1,613 0 07 Dec 2018
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations Dimitri Bertsekas OffRL 59 131 0 12 Apr 2018
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 108 1,340 0 27 Feb 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 149 3,115 0 10 Jun 2016

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