3 papers
cs.CG2026
Towards Scalable Persistence-Based Topological Optimization
Abderrahim Bendahi, Alexandre Duplessis, Arnaud Fickinger
Persistence-based topological optimization deforms a point cloud by minimizing objectives of the form , where $\mathrm{Dgm}(X…
cs.LG2026
Statistical Guarantees for Offline Domain Randomization
Arnaud Fickinger, Abderrahim Bendahi, Stuart Russell
Reinforcement-learning (RL) agents often struggle when deployed from simulation to the real-world. A dominant strategy for reducing the sim-to-real gap is domain randomization (DR)…
cs.LG2026
Cross-Domain Imitation Learning via Optimal Transport
Arnaud Fickinger, Samuel Cohen, Stuart Russell +1
Cross-domain imitation learning studies how to leverage expert demonstrations of one agent to train an imitation agent with a different embodiment or morphology. Comparing trajecto…