D'Eramo, Carlo

17 publications

ICLR 2025 Adaptive $q$-Network: On-the-Fly Target Selection for Deep Reinforcement Learning Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo

TMLR 2025 Iterated $q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo

TMLR 2025 Machine Learning with Physics Knowledge for Prediction: A Survey Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Buelow, Tanmay Goyal, Jan Peters, Martin W Hoffmann

JAIR 2024 A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen

ICMLW 2024 Adaptive $q$-Network: On-the-Fly Target Selection for Deep Reinforcement Learning Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo

ICLR 2024 Augmented Bayesian Policy Search Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo

ICLR 2024 Domain Randomization via Entropy Maximization Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki

ICLR 2024 Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts Ahmed Hendawy, Jan Peters, Carlo D'Eramo

ICLR 2024 Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo

ICMLW 2023 Parameterized Projected Bellman Operator Théo Vincent, Alberto Maria Metelli, Jan Peters, Marcello Restelli, Carlo D'Eramo

NeurIPSW 2023 Using Proto-Value Functions for Curriculum Generation in Goal-Conditioned RL Henrik Metternich, Ahmed Hendawy, Pascal Klink, Jan Peters, Carlo D'Eramo

ICLR 2022 Boosted Curriculum Reinforcement Learning Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

JMLR 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen

JMLR 2021 Gaussian Approximation for Bias Reduction in Q-Learning Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli

MLOSS 2021 MushroomRL: Simplifying Reinforcement Learning Research Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters

NeurIPS 2020 Self-Paced Deep Reinforcement Learning Pascal Klink, Carlo D'Eramo, Jan R Peters, Joni K. Pajarinen

ICLR 2020 Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters