Francesco Faccio

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 Miroslav Strupl

> Home > Persons > Francesco Faccio

Publications

2025
[i21]
- view
  - electronic edition via DOI (open access)
  - details & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2502-05672
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2502-05672
Miroslav Strupl, Oleg Szehr, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber:
On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers. CoRR abs/2502.05672 (2025)
2024
[i15]
- view
  - electronic edition via DOI (open access)
  - details & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2405-18289
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2405-18289
Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber:
Highway Reinforcement Learning. CoRR abs/2405.18289 (2024)
2022
[c4]
- view
  - electronic edition via DOI (open access)
  - details & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/StruplFASS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/StruplFASS22
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber:
Reward-Weighted Regression Converges to a Global Optimum. AAAI 2022: 8361-8369
[i8]
- view
  - electronic edition via DOI (open access)
  - details & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2205-06595
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2205-06595
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava:
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets. CoRR abs/2205.06595 (2022)
2021
[i3]
- view
  - electronic edition @ arxiv.org (open access)
  - details & citations
- export record
  dblp key:
  - journals/corr/abs-2107-09088
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2107-09088
Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber:
Reward-Weighted Regression Converges to a Global Optimum. CoRR abs/2107.09088 (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.