2 papers
cs.LG2025
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
Fnu Hairi, Jiao Yang, Tianchen Zhou +6
In many multi-objective reinforcement learning (MORL) applications, being able to systematically explore the Pareto-stationary solutions under multiple non-convex reward objectives…
cs.LG2025
Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations
Jiin Woo, Alireza Bagheri Garakani, Tianchen Zhou +2
In recommendation systems, diversity and novelty are essential for capturing varied user preferences and encouraging exploration, yet many systems prioritize click relevance. While…