A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation

arXiv:2106.13541 · cs.NE, q-bio.NC · Submitted 2021-06-25 · Read on arXiv

cs.NE, q-bio.NC

Submitted: 2021-06-25

Updated: 2021-07-16

Comments: 31 pages, 8 figures. Acknowledgements revised

Journal ref: Cerebral Cortex, Volume 32, Issue 18, 15 September 2022, Pages 3917-3936

DOI: 10.1093/cercor/bhab456

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Actor — 3× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Related papers

• Evolutionary Ensemble of Agents
• Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
• Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
• Evolutionary Architecture Search for Chlorophyll- a Prediction in Lakes using Sentinel-2
• Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
• Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs