Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies

Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL

해석 가능한 프롬프트 최적화에 관한 강화학습 연구

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning

Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation

Adapting Text-based Dialogue State Tracker for Spoken Dialogues

Information-Theoretic State Space Model

Information-Theoretic State Space Model for Multi-View Reinforcement Learning

Trustworthy Residual Vehicle Value Prediction for Auto Finance