Francesco Faccio

10 papers · 2018–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20)

🏆 Grand Slam 🧬 Topic Evolution 🗃️ Keyword Collector (56) 💎 Century Club · Bronze 🔥 Unstoppable · Bronze

Venues

ICML (4) AAAI (2) NeurIPS (2) ICCV (1) ICLR (1)

Top co-authors

Jürgen Schmidhuber (9) Yuhui Wang (3) Louis Kirsch (3) Weida Li (2) Vincent Herrmann (2) Mingchen Zhuge (2) Dylan R. Ashley (2) Qingyuan Wu (2) Chao Huang (1) Marcello Restelli (1)

Research topics

Artificial Intelligence (9) Core AI (9) Machine Learning (8) Reinforcement Learning (6) Optimization & Theory · Machine Learning (5) Methods (4) Deep Learning (3) Architectures (3) Core Methods (3) Applications (2) Learning Types · Machine Learning (2) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

skip connection (2) value iteration network (2) reinforcement learning (2) policy optimization (2) continuous control (1) video understanding (1) policy learning (1) value function (1) convergence analysis (1) policy search (1) importance sampling (1) off-policy learning (1) short-term memory (1) graph (1) temporal difference (1) weight sharing (1) neural ordinary differential equation (1) goal-conditioned reinforcement learning (1) latent mdp (1) optimization (1)

Papers

Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025 GPTSwarm: Language Agents as Optimizable Graphs ICML 2024 Highway Value Iteration Networks ICML 2024 Learning Useful Representations of Recurrent Neural Network Weight Matrices ICML 2024 Goal-Conditioned Generators of Deep Policies AAAI 2023 Learning to Identify Critical States for Reinforcement Learning from Videos ICCV 2023 Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules NeurIPS 2022 Reward-Weighted Regression Converges to a Global Optimum AAAI 2022 Parameter-Based Value Functions ICLR 2021 Policy Optimization via Importance Sampling NeurIPS 2018