Coros, Stelian

11 publications

ICLR 2025 ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause

ICLR 2025 MaxInfoRL: Boosting Exploration in Reinforcement Learning Through Information Gain Maximization Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza

NeurIPS 2025 SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer Yarden As, Chengrui Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause

ICMLW 2024 NEORL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija, Lenart Treven, Florian Dorfler, Stelian Coros, Andreas Krause

NeurIPS 2024 NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause

CVPR 2024 Neural Modes: Self-Supervised Learning of Nonlinear Modal Subspaces Jiahong Wang, Yinwei Du, Stelian Coros, Bernhard Thomaszewski

CoRL 2024 RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards Fatemeh Zargarbashi, Jin Cheng, Dongho Kang, Robert Sumner, Stelian Coros

NeurIPS 2023 Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause

CoRL 2023 Tuning Legged Locomotion Controllers via Safe Bayesian Optimization Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros

NeurIPS 2021 NTopo: Mesh-Free Topology Optimization Using Implicit Neural Representations Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski

ICML 2021 PODS: Policy Optimization via Differentiable Simulation Miguel Angel Zamora Mora, Momchil Peychev, Sehoon Ha, Martin Vechev, Stelian Coros