Panayotis Mertikopoulos

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Angeliki Giannou

> Home > Persons > Panayotis Mertikopoulos

Publications

2022
[c74]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/GiannouLMV22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/GiannouLMV22
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. NeurIPS 2022
[i63]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-08857
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-08857
Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. CoRR abs/2210.08857 (2022)
2021
[c68]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/colt/GiannouVM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/colt/GiannouVM21
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information. COLT 2021: 2147-2148
[c59]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/GiannouVM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/GiannouVM21
Angeliki Giannou, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond. NeurIPS 2021: 22655-22666
[i60]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2101-04667
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-04667
Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. CoRR abs/2101.04667 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.