Carlo D'Eramo
14 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π€
Dynamic Duo
(12)
β‘
Prolific Year
(5)
π
Century Club
(14)
Conferences
ICLR (7)
JMLR (3)
AAAI (1)
IJCAI (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
reinforcement learning
(2)
offline reinforcement learning
(1)
self-paced learning
(1)
probabilistic modeling
(1)
variational inference
(1)
function approximation
(1)
hierarchical reinforcement learning
(1)
markov decision process
(1)
value function
(1)
value iteration
(1)
partially observable markov decision process
(1)
exploration exploitation
(1)
optimal value function
(1)
temporal-difference learning
(1)
sequential decision-making
(1)
monte-carlo tree search
(1)
approximate value iteration
(1)
online reinforcement learning
(1)
learning progress
(1)
deep reinforcement learning
(1)
Papers
Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
ICLR 2025
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
Augmented Bayesian Policy Search
ICLR 2024
Domain Randomization via Entropy Maximization
ICLR 2024
Boosted Curriculum Reinforcement Learning
ICLR 2022
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
RSS 2021
MushroomRL: Simplifying Reinforcement Learning Research
JMLR 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
JMLR 2021
Gaussian Approximation for Bias Reduction in Q-Learning
JMLR 2021
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
ICLR 2020
Generalized Mean Estimation in Monte-Carlo Tree Search
IJCAI 2020
Self-Paced Deep Reinforcement Learning
NIPS 2020