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Carlo D'Eramo

14 papers · 2020–2025 · 6 venues · across top CS/AI venues

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Achievements

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+5 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26)
🏆 Keyword Champion 🤝 Dynamic Duo (12) 🗃️ Keyword Collector (72) 💎 Century Club · Bronze ⚡ Prolific Year · Productive

Venues

ICLR (7) JMLR (3) AAAI (1) IJCAI (1) NeurIPS (1) RSS (1)

Top co-authors

Jan Peters (12) Pascal Klink (5) Marcello Restelli (4) Boris Belousov (3) Joni Pajarinen (3) Andrea Bonarini (2) Théo Vincent (2) Davide Tateo (2) Georgia Chalvatzaki (2) Cesare Alippi (1)

Research topics

Reinforcement Learning (10) Methods (10) Artificial Intelligence (9) Machine Learning (9) Core AI (9) Learning Types · Machine Learning (6) Deep Learning (3) Applications (3) Optimization & Theory (3) Learning Paradigms (2) Learning Types · Deep Learning (2) Bayesian & Probabilistic (1) Core Methods (1) Techniques (1)

Keywords

reinforcement learning (4) value iteration (3) action-value function (2) value function (2) sample efficiency (2) deep reinforcement learning (2) representation learning (2) curriculum reinforcement learning (2) offline reinforcement learning (1) variational inference (1) multi-task learning (1) policy gradient (1) bounded rationality (1) function approximation (1) locomotion control (1) markov decision process (1) robotic manipulation (1) hierarchical reinforcement learning (1) domain randomization (1) sequential decision making (1)

Papers

Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 Augmented Bayesian Policy Search ICLR 2024 Domain Randomization via Entropy Maximization ICLR 2024 Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts ICLR 2024 Parameterized Projected Bellman Operator AAAI 2024 Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula ICLR 2024 Boosted Curriculum Reinforcement Learning ICLR 2022 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning RSS 2021 Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021 MushroomRL: Simplifying Reinforcement Learning Research JMLR 2021 Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020 Self-Paced Deep Reinforcement Learning NeurIPS 2020 Sharing Knowledge in Multi-Task Deep Reinforcement Learning ICLR 2020