1 citations · 1 across the 6 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
Slavisa Tomic, João Pedro Matos-Carvalho, Marko Beko
This work addresses weight optimization problem for fully-connected feed-forward neural networks. Unlike existing approaches that are based on back-propagation (BP) and chain rule…
cs.LG2020
Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning
Milos S. Stankovic, Marko Beko, Srdjan S. Stankovic
In this paper we propose several novel distributed gradient-based temporal difference algorithms for multi-agent off-policy learning of linear approximation of the value function i…