1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2024
NeoPhysIx: An Ultra Fast 3D Physical Simulator as Development Tool for AI Algorithms
Jörn Fischer, Thomas Ihme
Traditional AI algorithms, such as Genetic Programming and Reinforcement Learning, often require extensive computational resources to simulate real-world physical scenarios effecti…
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…