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

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

12 April 2018
Dimitri Bertsekas
    OffRL
ArXivPDFHTML

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

5 / 5 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
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
Approximate Policy Iteration with Bisimulation Metrics
Mete Kemertas
Allan D. Jepson
14
7
0
06 Feb 2022
Provably Efficient Reinforcement Learning for Discounted MDPs with
  Feature Mapping
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou
Jiafan He
Quanquan Gu
19
133
0
23 Jun 2020
Can Temporal-Difference and Q-Learning Learn Representation? A
  Mean-Field Theory
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang
Qi Cai
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
OOD
MLT
58
11
0
08 Jun 2020
Global Optimality Guarantees For Policy Gradient Methods
Global Optimality Guarantees For Policy Gradient Methods
Jalaj Bhandari
Daniel Russo
14
185
0
05 Jun 2019
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