Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations

12 April 2018

Papers citing "Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations"

8 / 8 papers shown

Title
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 81 270 0 09 Jan 2025
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 27 7 0 06 Feb 2022
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control Dimitri Bertsekas AI4CE 40 55 0 20 Aug 2021
An Adaptive State Aggregation Algorithm for Markov Decision Processes Guanting Chen Johann D. Gaebler M. Peng Chunlin Sun Yinyu Ye 8 6 0 23 Jul 2021
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes Mohammadhossein Ghahramani Yan Qiao Mengchu Zhou A. O'Hagan James Sweeney 11 180 0 29 Aug 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 30 133 0 23 Jun 2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory Yufeng Zhang Qi Cai Zhuoran Yang Yongxin Chen Zhaoran Wang OOD MLT 81 11 0 08 Jun 2020
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 35 185 0 05 Jun 2019