Francesco Faccio

According to our database, Francesco Faccio authored at least 24 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Upside Down Reinforcement Learning with Policy Generators.

Jacopo Di Ventura, Dylan R. Ashley, Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

CoRR, January, 2025

2024

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems.

Wenyi Wang, Hisham A. Alyahya, Dylan R. Ashley, Oleg Serikov, Dmitrii Khizbullin, Francesco Faccio, Jürgen Schmidhuber

CoRR, 2024

Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning.

Yuhui Wang, Qingyuan Wu, Weida Li, Dylan R. Ashley, Francesco Faccio, Chao Huang, Jürgen Schmidhuber

CoRR, 2024

Highway Reinforcement Learning.

Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber

CoRR, 2024

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms.

Mohannad Alhakami, Dylan R. Ashley, Joel Dunham, Francesco Faccio, Eric Feron, Jürgen Schmidhuber

CoRR, 2024

Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models.

Wentian Zhang, Haozhe Liu, Jinheng Xie, Francesco Faccio, Mike Zheng Shou, Jürgen Schmidhuber

CoRR, 2024

Language Agents as Optimizable Graphs.

Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber

CoRR, 2024

GPTSwarm: Language Agents as Optimizable Graphs.

Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Highway Value Iteration Networks.

Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Useful Representations of Recurrent Neural Network Weight Matrices.

Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Chiller simulated and real-world data.

Andrea Loreggia, Francesco Faccio, Diego Mussolin, Maurizio Zambonin

Dataset, January, 2023

The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute.

Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag

CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.

Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber

CoRR, 2023

Learning to Identify Critical States for Reinforcement Learning from Videos.

Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Goal-Conditioned Generators of Deep Policies.

Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bayesian Brains and the Rényi Divergence.

Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston

Neural Comput., 2022

General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States.

Francesco Faccio, Aditya A. Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber

CoRR, 2022

Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets.

Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Jürgen Schmidhuber, Rupesh Kumar Srivastava

CoRR, 2022

Simulating Floating Head Pressure Control With Artificial Intelligence.

Andrea Loreggia, Francesco Faccio, Diego Mussolin, Maurizio Zambonin

IEEE Access, 2022

Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules.

Kazuki Irie, Francesco Faccio, Jürgen Schmidhuber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reward-Weighted Regression Converges to a Global Optimum.

Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Parameter-Based Value Functions.

Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Parameter-based Value Functions.

Francesco Faccio, Jürgen Schmidhuber

CoRR, 2020

2018

Policy Optimization via Importance Sampling.

Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018