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Francesco Faccio — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Francesco Faccio
16
papers ·
34
citations ·
4
h-index
Dalle Molle Institute for Artificial Intelligence Research · King Abdullah University of Science and Technology
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Most-cited papers
Policy Optimization via Importance Sampling
2018 · 23 citations
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States
2022 · 3 citations
On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
2025 · 1 citations
Parameter-Based Value Functions
2020 · 1 citations
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets
2022 · 1 citations
Goal-Conditioned Generators of Deep Policies
2022 · 1 citations
Upside Down Reinforcement Learning with Policy Generators
2025
Reward-Weighted Regression Converges to a Global Optimum
2021
Learning to Identify Critical States for Reinforcement Learning from Videos
2023
Highway Reinforcement Learning
2024
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
2024
Top co-authors
J\"urgen Schmidhuber
· 9
Dylan R. Ashley
· 5
Vincent Herrmann
· 3
Yuhui Wang
· 3
Aditya Ramesh
· 2
Haozhe Liu
· 2
Louis Kirsch
· 2
Qingyuan Wu
· 2
Bernard Ghanem
· 1
Bing Li
· 1
Chao Huang
· 1
Jürgen Schmidhuber
· 1
Topics
Value-Based
Policy Gradient
Model-Based RL
Meta-RL
Offline RL
Game AI
Safe RL
Exploration