Chao Qian

8

Papers

14

Total Citations

Papers (8)

Pareto Set Learning for Multi-Objective Reinforcement Learning

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Confidence-aware Contrastive Learning for Selective Classification

Offline Multi-Objective Optimization

Sequential Multi-Agent Dynamic Algorithm Configuration

Quality-Diversity with Limited Resources

Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms