Carlo D'Eramo
Carlo D'Eramo
Postdoctoral researcher @ Technische Universitšt Darmstadt
Email verificata su robot-learning.de - Home page
Titolo
Citata da
Citata da
Anno
Estimating the Maximum Expected Value through Gaussian Approximation
C D’Eramo, A Nuara, M Restelli
Proceedings of The 33rd International Conference on Machine Learning, 1032-1040, 2016
232016
Boosted Fitted Q-Iteration
S Tosatto, M Pirotta, C D'Eramo, M Restelli
Proceedings of The 34th International Conference on Machine Learning, 3434-3443, 2017
172017
Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems
C D'Eramo, A Nuara, M Pirotta, R Marcello
AAAI Conference on Artificial Intelligence, 1840-1846, 2017
132017
Self-Paced Deep Reinforcement Learning
P Klink, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:2004.11812, 2020
22020
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
C D'Eramo, D Tateo, A Bonarini, M Restelli, J Peters
International Conference on Learning Representations, 2020
22020
Mushroomrl: Simplifying reinforcement learning research
C D'Eramo, D Tateo, A Bonarini, M Restelli, J Peters
arXiv preprint arXiv:2001.01102, 2020
22020
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning
C D’Eramo, A Cini, M Restelli
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
22019
Exploiting structure and uncertainty of Bellman updates in Markov decision processes
D Tateo, C D'Eramo, A Nuara, M Restelli, A Bonarini
Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE†…, 2017
12017
Convex Regularization in Monte-Carlo Tree Search
T Dam, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:2007.00391, 2020
2020
Deep Reinforcement Learning with Weighted Q-Learning
A Cini, C D'Eramo, J Peters, C Alippi
arXiv preprint arXiv:2003.09280, 2020
2020
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks
D Koert, M Kircher, V Salikutluk, C D'Eramo, J Peters
Frontiers in Robotics and AI 7, 97, 2020
2020
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
S Parisi, D Tateo, M Hensel, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:2001.00119, 2020
2020
Generalized Mean Estimation in Monte-Carlo Tree Search
T Dam, P Klink, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:1911.00384, 2019
2019
Exploration Driven by an Optimistic Bellman Equation
S Tosatto, C D’Eramo, J Pajarinen, M Restelli, J Peters
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
2019
On the exploitation of uncertainty to improve Bellman updates and exploration in Reinforcement Learning
C D'ERAMO
Italy, 2019
2019
On the use of deep Boltzmann machines for road signs classification
C D'ERAMO
Italy, 2015
2015
Il sistema al momento non puÚ eseguire l'operazione. Riprova piý tardi.
Articoli 1–16