Introduces a conceptual framework for curiosity-driven reward-based learning in audio via continuous search for novel sound sources, with an overview of prior work and a proof-of-concept.
Agents that Listen: High- Throughput Reinforcement Learning with Multiple Sensory Systems,
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A conceptual framework for learning to listen by reward: Curiosity-driven search for novel sources
Introduces a conceptual framework for curiosity-driven reward-based learning in audio via continuous search for novel sound sources, with an overview of prior work and a proof-of-concept.