Carlo D'Eramo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. | Tho Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo |
| 2025 | ICML | Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport. | Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard |
| 2024 | AAAI | Parameterized Projected Bellman Operator. | Tho Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo |
| 2024 | ICLR | Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. | Ahmed Hendawy, Jan Peters, Carlo D'Eramo |
| 2024 | ICLR | Augmented Bayesian Policy Search. | Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo |
| 2024 | ICLR | Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. | Aryaman Reddi, Maximilian Tlle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo |
| 2024 | ICLR | Domain Randomization via Entropy Maximization. | Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki |
| 2024 | ICRA | Contact Energy Based Hindsight Experience Prioritization. | Erdi Sayar, Zhenshan Bing, Carlo D'Eramo, Ozgur S. Oguz, Alois Knoll |
| 2024 | KI | Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children. | Anna Riedmann, Julia Gtz, Carlo D'Eramo, Birgit Lugrin |
| 2022 | ICLR | Boosted Curriculum Reinforcement Learning. | Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2022 | ICML | Curriculum Reinforcement Learning via Constrained Optimal Transport. | Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2022 | IJCNN | Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning. | Carlo D'Eramo, Georgia Chalvatzaki |
| 2021 | ICML | Convex Regularization in Monte-Carlo Tree Search. | Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2021 | ICRA | Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. | Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki, Carlo D'Eramo, Aaron M. Dollar, Jan Peters |
| 2020 | ICLR | Sharing Knowledge in Multi-Task Deep Reinforcement Learning. | Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters |
| 2020 | IJCAI | Generalized Mean Estimation in Monte-Carlo Tree Search. | Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen |
| 2019 | IJCNN | Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning. | Carlo D'Eramo, Andrea Cini, Marcello Restelli |
| 2019 | IJCNN | Exploration Driven by an Optimistic Bellman Equation. | Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters |
| 2017 | AAAI | Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. | Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli |
| 2017 | ICML | Boosted Fitted Q-Iteration. | Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli |
| 2016 | ICML | Estimating Maximum Expected Value through Gaussian Approximation. | Carlo D'Eramo, Marcello Restelli, Alessandro Nuara |