Carlo D'Eramo
机构: Professor of Reinforcement Learning @ University of Würzburg | Group leader @ TU Darmstadt
主页: uniwue.de
每年引用次数
引用次数
引用: 585
H-指数: 13
I10-指数 : 14
出版物: 39
Boosted Fitted Q-Iteration.
Matteo Pirotta , Marcello Restelli , Carlo D’Eramo , Samuele Tosatto
international conference on machine learning 3434 -3443
39
2017
Curriculum reinforcement learning via constrained optimal transport
Pascal Klink , Haoyi Yang , Carlo D’Eramo , Jan Peters
Smpte Journal 11341 -11358
3
2022
Composable energy policies for reactive motion generation and reinforcement learning
Julen Urain , Anqi Li , Puze Liu , Carlo D’Eramo
The International Journal of Robotics Research 42 ( 10) 827 -858
22
2023
Technical Report:“Exploration Driven by an Optimistic Bellman Equation”
Samuele Tosatto , Carlo D’Eramo , Joni Pajarinen , Marcello Restelli
2018
On the use of deep Boltzmann machines for road signs classification
CARLO D'ERAMO
Politecnico di Milano
2013
Estimating the maximum expected value through Gaussian approximation
Marcello Restelli , Alessandro Nuara , Carlo D'Eramo
international conference on machine learning 1032 -1040
18
2016
Estimating the maximum expected value in continuous reinforcement learning problems
Matteo Pirotta , Marcello Restelli , Alessandro Nuara , Carlo D'Eramo
national conference on artificial intelligence 1840 -1846
10
2017
Generalized Mean Estimation in Monte-Carlo Tree Search
Jan Peters , Jan Peters , Joni Pajarinen , Carlo D'Eramo
arXiv: Artificial Intelligence
4
2019
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
Jan Peters , Simone Parisi , Joni Pajarinen , Carlo D'Eramo
arXiv: Learning
4
2019
MushroomRL: Simplifying Reinforcement Learning Research.
Andrea Bonarini , Jan Peters , Marcello Restelli , Carlo D'Eramo
arXiv: Learning
36
2020
Deep Reinforcement Learning with Weighted Q-Learning
Jan Peters , Cesare Alippi , Carlo D'Eramo , Andrea Cini
arXiv: Learning
8
2020
Convex Regularization in Monte-Carlo Tree Search
Jan Peters , Joni Pajarinen , Carlo D'Eramo , Tuan Quang Dam
arXiv: Learning
5
2021
Self-Paced Deep Reinforcement Learning
Jan R. Peters , Joni Pajarinen , Carlo D'Eramo , Pascal Klink
neural information processing systems 33 9216 -9227
25
2020
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.
Jan Peters , Hany Abdulsamad , Joni Pajarinen , Boris Belousov
arXiv: Learning
12
2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning.
Georgia Chalvatzaki , Aaron M. Dollar , Jan Peters , Andrew S. Morgan
arXiv: Robotics
21
2021
Multi-Channel Interactive Reinforcement Learning for Sequential Tasks.
Dorothea Koert , Maximilian Kircher , Vildan Salikutluk , Carlo D'Eramo
Frontiers in Robotics and AI 7 97
10
2020
Exploration Driven by an Optimistic Bellman Equation
Samuele Tosatto , Carlo D'Eramo , Joni Pajarinen , Marcello Restelli
international joint conference on neural network 1 -8
2
2019
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning
Carlo D'Eramo , Andrea Cini , Marcello Restelli
2019 International Joint Conference on Neural Networks (IJCNN) 1 -8
2019
Gaussian approximation for bias reduction in Q-learning
Carlo D'Eramo , Andrea Cini , Alessandro Nuara , Matteo Pirotta
The Journal of Machine Learning Research 22 ( 1) 12690 -12740
3
2021
Sharing knowledge in multi-task deep reinforcement learning
Carlo D'Eramo , Davide Tateo , Andrea Bonarini , Marcello Restelli
arXiv preprint arXiv:2401.09561
120
2024