[ICLR 2023] Graph-Based Deterministic Policy Gradient for Repetitive Combinatorial Optimization

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Deep Dive into Networked AI

NetAIStudio

10 episodes

1 day ago

Explore the cutting-edge of artificial intelligence (AI), machine learning, optimization, signal processing, wireless communications, networking, and broader networked systems. Join us as we dive deep into frontier research papers, uncover groundbreaking innovations, and discuss the possibilities shaping the future of technology and science.

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[ICLR 2023] Graph-Based Deterministic Policy Gradient for Repetitive Combinatorial Optimization

Deep Dive into Networked AI

14 minutes 47 seconds

10 months ago

[ICLR 2023] Graph-Based Deterministic Policy Gradient for Repetitive Combinatorial Optimization

Description: In this episode, we dive into our own paper published in ICLR 2023, a study on scalable reinforcement learning for networked systems. Generated using NotebookLM from Google, this podcast highlights the key findings and implications of this research.
🎧 Read the paper here: [openreview] [video presentation]
📷 Cover Image Source: imagine.art
🎵 BGM: Artlist.io
🛠️ Generated by: NotebookLM by Google