2 papers
cs.HC2026
Dynamic Personalization Through Continuous Feedback Loops in Interactive AI Systems
Liu He
Interactive AI systems, such as recommendation engines and virtual assistants, commonly use static user profiles and predefined rules to personalize interactions. However, these me…
cs.LG2026
Incorporating Cognitive Biases into Reinforcement Learning for Financial Decision-Making
Liu He
Financial markets are influenced by human behavior that deviates from rationality due to cognitive biases. Traditional reinforcement learning (RL) models for financial decision-mak…