ML Anthology

Belousov, Boris

16 publications

ICLR 2025 Adaptive $q$-Network: On-the-Fly Target Selection for Deep Reinforcement Learning Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
TMLR 2025 Iterated $q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo
ICMLW 2024 Adaptive $q$-Network: On-the-Fly Target Selection for Deep Reinforcement Learning Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
ICLR 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
NeurIPSW 2024 Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis Erik Helmut, Luca Dziarski, Niklas Funk, Boris Belousov, Jan Peters
AAAI 2024 Parameterized Projected Bellman Operator Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
IJCAI 2024 Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent, Shubham Vyas, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Akhil Sathuluri, Markus Zimmermann, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
NeurIPS 2023 Pseudo-Likelihood Inference Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R Peters
NeurIPSW 2022 How Crucial Is Transformer in Decision Transformer? Max Siebenborn, Boris Belousov, Junning Huang, Jan Peters
JMLR 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
CoRL 2021 Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction Niklas Funk, Georgia Chalvatzaki, Boris Belousov, Jan Peters
CoRL 2021 Neural Posterior Domain Randomization Fabio Muratore, Theo Gruner, Florian Wiese, Boris Belousov, Michael Gienger, Jan Peters
CoRL 2019 HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters
CoRL 2019 Receding Horizon Curiosity Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
CoRL 2019 Self-Paced Contextual Reinforcement Learning Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
NeurIPS 2016 Catching Heuristics Are Optimal Control Policies Boris Belousov, Gerhard Neumann, Constantin A Rothkopf, Jan R Peters