170 citations · 506 across the 51 of their papers we have counts for
3 papers · 1 filter
Decentralized Online Learning with Kernels
Alec Koppel, Santiago Paternain, Cedric Richard +1
We consider multi-agent stochastic optimization problems over reproducing kernel Hilbert spaces (RKHS). In this setting, a network of interconnected agents aims to learn decision f…
Policy Evaluation in Continuous MDPs with Efficient Kernelized Gradient Temporal Difference
Alec Koppel, Garrett Warnell, Ethan Stump +2
We consider policy evaluation in infinite-horizon discounted Markov decision problems (MDPs) with infinite spaces. We reformulate this task a compositional stochastic program with…
Asynchronous Decentralized Stochastic Optimization in Heterogeneous Networks
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
We consider expected risk minimization in multi-agent systems comprised of distinct subsets of agents operating without a common time-scale. Each individual in the network is charg…