Batch-constrained Q-learning (BCQ)
Batch-constrained Q-learning (BCQ) is an advanced reinforcement learning algorithm designed to optimize decision-making using limited data samples.
batch learning
Batch learning
Batch learning is a machine learning paradigm where the model is trained on a fixed dataset in a single iteration. It contrasts with online learning, where models are updated continuously.