Carlo D'Eramo - RankMe

67 papers A* 18A 1B 3Misc 1Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gradient Iterated Temporal-Difference Learning. CoRR Théo Vincent, Kevin Gerhardt, Yogesh Tripathi, Habib Maraqten, Adam White, Martha White, Jan Peters, Carlo D'Eramo
2025	A*	`conf`	Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. ICLR Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
2025	J	`jnl`	Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning. CoRR Théo Vincent, Yogesh Tripathi, Tim Lukas Faust, Yaniv Oren, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	J	`jnl`	Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning. CoRR Jose Luis Holgado Alvarez, Aryaman Reddi, Carlo D'Eramo
2025	J	`jnl`	Eau De CoRR Théo Vincent, Tim Lukas Faust, Yogesh Tripathi, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	Iterated Trans. Mach. Learn. Res. Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization. CoRR Sebastian Griesbach, Carlo D'Eramo
2025	J	`jnl`	Machine Learning with Physics Knowledge for Prediction: A Survey. Trans. Mach. Learn. Res. Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann
2025	A*	`conf`	Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport. ICML Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard
2025	A	`conf`	Real-World Testing Matters in Reinforcement Learning for Education. AAMAS Anna Riedmann, Carlo D'Eramo, Birgit Lugrin
2025	J	`jnl`	Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning. CoRR Ahmed Hendawy, Henrik Metternich, Théo Vincent, Mahdi Kallel, Jan Peters, Carlo D'Eramo
2024	J	`jnl`	A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. J. Artif. Intell. Res. Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2024	J	`jnl`	Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. CoRR Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
2024	A*	`conf`	Augmented Bayesian Policy Search. ICLR Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
2024	J	`jnl`	Augmented Bayesian Policy Search. CoRR Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
2024	A*	`conf`	Contact Energy Based Hindsight Experience Prioritization. ICRA Erdi Sayar, Zhenshan Bing, Carlo D'Eramo, Ozgur S. Oguz, Alois Knoll
2024	J	`jnl`	Cyclicity-Regularized Coordination Graphs. RLJ Oliver Järnefelt, Mahdi Kallel, Carlo D'Eramo
2024	J	`jnl`	Deterministic Exploration via Stationary Bellman Error Maximization. CoRR Sebastian Griesbach, Carlo D'Eramo
2024	A*	`conf`	Domain Randomization via Entropy Maximization. ICLR Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
2024	J	`jnl`	Iterated Q-Network: Beyond the One-Step Bellman Operator. CoRR Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo
2024	J	`jnl`	Machine Learning with Physics Knowledge for Prediction: A Survey. CoRR Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann
2024	A*	`conf`	Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. ICLR Ahmed Hendawy, Jan Peters, Carlo D'Eramo
2024	J	`jnl`	On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2024	A*	`conf`	Parameterized Projected Bellman Operator. AAAI Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2024	A*	`conf`	Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. ICLR Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo
2024	J	`jnl`	Sharing Knowledge in Multi-Task Deep Reinforcement Learning. CoRR Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2024	Misc	`conf`	Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children. KI Anna Riedmann, Julia Götz, Carlo D'Eramo, Birgit Lugrin
2023	J	`jnl`	Composable energy policies for reactive motion generation and reinforcement learning. Int. J. Robotics Res. Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
2023	J	`jnl`	Contact Energy Based Hindsight Experience Prioritization. CoRR Erdi Sayar, Zhenshan Bing, Carlo D'Eramo, Ozgur S. Oguz, Alois Knoll
2023	J	`jnl`	Domain Randomization via Entropy Maximization. CoRR Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
2023	J	`jnl`	Monte-Carlo tree search with uncertainty propagation via optimal transport. CoRR Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard
2023	J	`jnl`	Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. CoRR Ahmed Hendawy, Jan Peters, Carlo D'Eramo
2023	J	`jnl`	On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. CoRR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2023	J	`jnl`	Parameterized Projected Bellman Operator. CoRR Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2023	J	`jnl`	Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. CoRR Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo
2022	J	`jnl`	A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. CoRR Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	A*	`conf`	Boosted Curriculum Reinforcement Learning. ICLR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	A*	`conf`	Curriculum Reinforcement Learning via Constrained Optimal Transport. ICML Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. Algorithms Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	B	`conf`	Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning. IJCNN Carlo D'Eramo, Georgia Chalvatzaki
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. CoRR Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. J. Mach. Learn. Res. Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	—	`conf`	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. Robotics: Science and Systems Julen Urain, Puze Liu, Anqi Li, Carlo D'Eramo, Jan Peters
2021	J	`jnl`	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. CoRR Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
2021	A*	`conf`	Convex Regularization in Monte-Carlo Tree Search. ICML Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
2021	A*	`conf`	Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. ICRA Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki, Carlo D'Eramo, Aaron M. Dollar, Jan Peters
2021	J	`jnl`	Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. CoRR Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki, Carlo D'Eramo, Aaron M. Dollar, Jan Peters
2021	J	`jnl`	MushroomRL: Simplifying Reinforcement Learning Research. J. Mach. Learn. Res. Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2020	J	`jnl`	Convex Regularization in Monte-Carlo Tree Search. CoRR Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Deep Reinforcement Learning with Weighted Q-Learning. CoRR Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi
2020	A*	`conf`	Generalized Mean Estimation in Monte-Carlo Tree Search. IJCAI Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. CoRR Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. Frontiers Robotics AI Dorothea Koert, Maximilian Kircher, Vildan Salikutluk, Carlo D'Eramo, Jan Peters
2020	J	`jnl`	MushroomRL: Simplifying Reinforcement Learning Research. CoRR Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2020	A*	`conf`	Self-Paced Deep Reinforcement Learning. NeurIPS Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Self-Paced Deep Reinforcement Learning. CoRR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	A*	`conf`	Sharing Knowledge in Multi-Task Deep Reinforcement Learning. ICLR Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2019	B	`conf`	Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. IJCNN Carlo D'Eramo, Andrea Cini, Marcello Restelli
2019	B	`conf`	Exploration Driven by an Optimistic Bellman Equation. IJCNN Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters
2019	J	`jnl`	Generalized Mean Estimation in Monte-Carlo Tree Search. CoRR Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2019	—	`—`	On the exploitation of uncertainty to improve Bellman updates and exploration in Reinforcement Learning. Carlo D'Eramo
2017	A*	`conf`	Boosted Fitted Q-Iteration. ICML Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli
2017	A*	`conf`	Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. AAAI Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli
2017	—	`conf`	Exploiting structure and uncertainty of Bellman updates in Markov decision processes. SSCI Davide Tateo, Carlo D'Eramo, Alessandro Nuara, Marcello Restelli, Andrea Bonarini
2016	A*	`conf`	Estimating Maximum Expected Value through Gaussian Approximation. ICML Carlo D'Eramo, Marcello Restelli, Alessandro Nuara