State Abstraction via Deep Supervised Hash Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3467338
Abstract: State abstraction is a widely used technique in reinforcement learning (RL) that compresses the state space to accelerate learning algorithms. However, designing an effective abstraction function in large-scale or high-dimensional state space problems remains a… read more here.
Keywords: state abstraction; hash learning; abstraction; deep supervised ... See more keywords