1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2024
Recursive Backwards Q-Learning in Deterministic Environments
Jan Diekhoff, Jörn Fischer
Reinforcement learning is a popular method of finding optimal solutions to complex problems. Algorithms like Q-learning excel at learning to solve stochastic problems without a mod…
cs.NE2016★ 1 cited
About Learning in Recurrent Bistable Gradient Networks
J. Fischer, S. Lackner
Recurrent Bistable Gradient Networks are attractor based neural networks characterized by bistable dynamics of each single neuron. Coupled together using linear interaction determi…