This content originally appeared on HackerNoon and was authored by Anchoring
:::info Authors:
(1) Jongmin Lee, Department of Mathematical Science, Seoul National University;
(2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University.
:::
1.1 Notations and preliminaries
2.1 Accelerated rate for Bellman consistency operator
2.2 Accelerated rate for Bellman optimality opera
5 Approximate Anchored Value Iteration
6 Gauss–Seidel Anchored Value Iteration
7 Conclusion, Acknowledgments and Disclosure of Funding and References
2.1 Accelerated rate for Bellman consistency operator
First, for general state-action spaces, we present the accelerated convergence rate of Anc-VI for the Bellman consistency operator.
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:::info This paper is available on arxiv under CC BY 4.0 DEED license.
:::
[1] Arguably, T π is affine, not linear, but we follow the convention of [69] say T π is linear.
This content originally appeared on HackerNoon and was authored by Anchoring
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Anchoring | Sciencx (2025-01-14T22:56:20+00:00) Anc-VI Sets New Standards in Speed for Bellman Consistency in Reinforcement Learning. Retrieved from https://www.scien.cx/2025/01/14/anc-vi-sets-new-standards-in-speed-for-bellman-consistency-in-reinforcement-learning/
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