1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Measuring Progress in Deep Reinforcement Learning Sample Efficiency
Florian E. Dorner
Sampled environment transitions are a critical input to deep reinforcement learning (DRL) algorithms. Current DRL benchmarks often allow for the cheap and easy generation of large…
cs.CY2020
Forecasting AI Progress: A Research Agenda
Ross Gruetzemacher, Florian Dorner, Niko Bernaola-Alvarez +2
Forecasting AI progress is essential to reducing uncertainty in order to appropriately plan for research efforts on AI safety and AI governance. While this is generally considered…