Publication

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

Related publications (50)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

Graph Chatbot

Chat with Graph Search

Evolving Neuromodulatory Topologies for Reinforcement Learning-like Problems

Slowness: An Objective for Spike-Timing-Dependent Plasticity?

Adding prediction risk to the theory of reward learning

Adding prediction risk to the theory of reward learning

Effects of stress and genotype on meta-parameter dynamics in reinforcement learning

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Spiking Neuron Networks A survey

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission

Hebbian learning and spiking neurons

Slowness: An Objective for Spike-Timing-Dependent Plasticity?

Adding prediction risk to the theory of reward learning

Adding prediction risk to the theory of reward learning

Spiking Neuron Networks A survey

Effects of stress and genotype on meta-parameter dynamics in reinforcement learning

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Hebbian learning and spiking neurons

Evolving Neuromodulatory Topologies for Reinforcement Learning-like Problems