Enhancing Noisy Binary Search Efficiency through Deep Reinforcement Learning.
Rui MaYudong TaoMohamed M. KhodeiryKaram A. AlawaMei-Ling ShyuRichard K. LeePublished in: IRI (2023)
Keyphrases
- search efficiency
- reinforcement learning
- population diversity
- reinforcement learning algorithms
- result quality
- model free
- search capabilities
- non binary
- state space
- action selection
- noisy data
- function approximation
- markov decision processes
- robotic control
- hamming distance
- optimal policy
- dynamic programming
- linear programming
- multi agent reinforcement learning
- stochastic approximation
- multi agent
- temporal difference learning
- multi objective
- deep learning
- noisy environments
- temporal difference
- neural network
- learning classifier systems
- incomplete data
- evolutionary computation