action selection
The process by which an AI agent determines which action to take from its action space based on its policy or learned experiences, a key aspect of reinforcement learning strategies.
- Contextual Thompson Sampling via Generation of Missing Data
- Individual Regret in Cooperative Stochastic Multi-Armed Bandits
- Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
- No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
- Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
- Uncertainty-Sensitive Privileged Learning