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cs.LG2025
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior
Timo P. Gros, Nicola J. Müller, Daniel Fiser +3
Recent work has shown that successful per-domain generalizing action policies can be learned. Scaling behavior, from small training instances to large test instances, is the key ob…
cs.LG2020★ 1 cited
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version
Timo P. Gros, Daniel Höller, Jörg Hoffmann +1
Learning-based approaches for solving large sequential decision making problems have become popular in recent years. The resulting agents perform differently and their characterist…