Optimal convergence rate for exact policy mirror descent in discounted Markov decision processes
<p>Policy Mirror Descent (PMD) is a general family of algorithms that covers a wide range of novel and fundamental methods in reinforcement learning. Motivated by the instability of policy iteration (PI) with inexact policy evaluation, unregularised PMD algorithmically regularises the policy i...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
NeurIPS
2023
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