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Average Reward Adjusted Discounted Reinforcement Learning:
  Near-Blackwell-Optimal Policies for Real-World Applications

Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications

2 April 2020
Manuel Schneckenreither
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications"

4 / 4 papers shown
Title
Reducing Blackwell and Average Optimality to Discounted MDPs via the
  Blackwell Discount Factor
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
Julien Grand-Clément
Marko Petrik
62
14
0
31 Jan 2023
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic
  Reinforcement Learning and Global Convergence of Policy Gradient Methods
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Xin Guo
Anran Hu
Junzi Zhang
OffRL
86
6
0
13 Sep 2021
A nearly Blackwell-optimal policy gradient method
A nearly Blackwell-optimal policy gradient method
Vektor Dewanto
M. Gallagher
OffRL
44
0
0
28 May 2021
Average-reward model-free reinforcement learning: a systematic review
  and literature mapping
Average-reward model-free reinforcement learning: a systematic review and literature mapping
Vektor Dewanto
George Dunn
A. Eshragh
M. Gallagher
Fred Roosta
83
30
0
18 Oct 2020
1