Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning

Authors: Holgado-Alvarez, Jose-Luis, Reddi, Aryaman, D'Eramo, Carlo

Subject Terms: Computer Science - Robotics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.11467

Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

Authors: Vincent, Théo, Faust, Tim, Tripathi, Yogesh, Peters, Jan, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2503.01437

Continual Learning Should Move Beyond Incremental Classification

Authors: Mitchell, Rupert, Alliegro, Antonio, Camoriano, Raffaello, Carrión-Ojeda, Dustin, Carta, Antonio, Chalvatzaki, Georgia, Churamani, Nikhil, D'Eramo, Carlo, Hamidi, Samin, Hesse, Robin, Hinder, Fabian, Kamath, Roshni Ramanna, Lomonaco, Vincenzo, Paul, Subarnaduti, Pistilli, Francesca, Tuytelaars, Tinne, van de Ven, Gido M, Kersting, Kristian, Schaub-Meyer, Simone, Mundt, Martin

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.11927

Contact Energy Based Hindsight Experience Prioritization

Authors: Sayar, Erdi, Bing, Zhenshan, D'Eramo, Carlo, Oguz, Ozgur S., Knoll, Alois

Source: 2024 IEEE International Conference on Robotics and Automation (ICRA) Robotics and Automation (ICRA), 2024 IEEE International Conference on. :5434-5440 May, 2024

Relation: 2024 IEEE International Conference on Robotics and Automation (ICRA)

Deterministic Exploration via Stationary Bellman Error Maximization

Authors: Griesbach, Sebastian, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.23840

Machine Learning with Physics Knowledge for Prediction: A Survey

Authors: Watson, Joe, Song, Chen, Weeger, Oliver, Gruner, Theo, Le, An T., Hansel, Kay, Hendawy, Ahmed, Arenz, Oleg, Trojak, Will, Cranmer, Miles, D'Eramo, Carlo, Bülow, Fabian, Goyal, Tanmay, Peters, Jan, Hoffman, Martin W.

Subject Terms: Computer Science - Machine Learning, Mathematics - Numerical Analysis, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2408.09840

Augmented Bayesian Policy Search

Authors: Kallel, Mahdi, Basu, Debabrota, Akrour, Riad, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2407.04864

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning

Authors: Vincent, Théo, Wahren, Fabian, Peters, Jan, Belousov, Boris, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2405.16195

Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

Authors: Vincent, Théo, Palenicek, Daniel, Belousov, Boris, Peters, Jan, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2403.02107

Parameterized Projected Bellman Operator

Authors: Vincent, Théo, Metelli, Alberto Maria, Belousov, Boris, Peters, Jan, Restelli, Marcello, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2312.12869

Contact Energy Based Hindsight Experience Prioritization

Authors: Sayar, Erdi, Bing, Zhenshan, D'Eramo, Carlo, Oguz, Ozgur S., Knoll, Alois

Subject Terms: Computer Science - Robotics, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2312.02677

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Authors: Hendawy, Ahmed, Peters, Jan, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2311.11385

Domain Randomization via Entropy Maximization

Authors: Tiboni, Gabriele, Klink, Pascal, Peters, Jan, Tommasi, Tatiana, D'Eramo, Carlo, Chalvatzaki, Georgia

Subject Terms: Computer Science - Machine Learning, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2311.01885

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Authors: Reddi, Aryaman, Tölle, Maximilian, Peters, Jan, Chalvatzaki, Georgia, D'Eramo, Carlo

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2311.01642

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning

Authors: Klink, Pascal, D'Eramo, Carlo, Peters, Jan, Pajarinen, Joni

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2309.14091

Monte-Carlo tree search with uncertainty propagation via optimal transport

Authors: Dam, Tuan, Stenger, Pascal, Schneider, Lukas, Pajarinen, Joni, D'Eramo, Carlo, Maillard, Odalric-Ambrym

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2309.10737

Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning

Authors: D'Eramo, Carlo, Chalvatzaki, Georgia

Source: 2022 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2022 International Joint Conference on. :1-8 Jul, 2022

Relation: 2022 International Joint Conference on Neural Networks (IJCNN)

Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

Authors: Morgan, Andrew S., Nandha, Daljeet, Chalvatzaki, Georgia, D'Eramo, Carlo, Dollar, Aaron M., Peters, Jan

Source: 2021 IEEE International Conference on Robotics and Automation (ICRA) Robotics and Automation (ICRA), 2021 IEEE International Conference on. :6672-6678 May, 2021

Relation: 2021 IEEE International Conference on Robotics and Automation (ICRA)

Exploration Driven by an Optimistic Bellman Equation

Authors: Tosatto, Samuele, D'Eramo, Carlo, Pajarinen, Joni, Restelli, Marcello, Peters, Jan

Source: 2019 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2019 International Joint Conference on. :1-8 Jul, 2019

Relation: 2019 International Joint Conference on Neural Networks (IJCNN)

Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning

Authors: D'Eramo, Carlo, Cini, Andrea, Restelli, Marcello

Source: 2019 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2019 International Joint Conference on. :1-8 Jul, 2019

Relation: 2019 International Joint Conference on Neural Networks (IJCNN)