Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization. - Bang Giang Le; Viet Cuong Ta (KSE, 2022)

Structural and Compact Latent Representation Learning on Sparse Reward Environments. - Bang Giang Le; Thi Linh Hoang; Hai-Dang Kieu; Viet-Cuong Ta (ACIIDS (2), 2023)

Resolve Highway Conflict in Multi-Autonomous Vehicle Controls With Local State Attention. - Xuan Duy Ta; Bang Giang Le; Thanh Ha Le; Viet Cuong Ta (KSE, 2024)

On the Effectiveness of Regularization Methods for Soft Actor-Critic in Discrete-Action Domains. - Bang Giang Le; Viet Cuong Ta (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning. - Duc Kien Doan; Bang Giang Le; Viet Cuong Ta (CoRR, 2025)

Toward finding strong pareto optimal policies in multi-agent reinforcement learning. - Bang Giang Le; Viet Cuong Ta (Mach. Learn., 2025)

Low variance trust region optimization with independent actors and sequential updates in cooperative multi-agent reinforcement learning. - Bang Giang Le; Viet Cuong Ta (Auton. Agents Multi Agent Syst., 2025)