3 papers
cs.LG2026
RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion
Tianmeng Hu, Yongzheng Cui, Biao Luo +1
The inverse design of RNA three-dimensional (3D) structures is crucial for engineering functional RNAs in synthetic biology and therapeutics. While recent deep learning approaches…
cs.AI2026
PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning
Tianmeng Hu, Biao Luo
Multi-objective reinforcement learning (MORL) provides an effective solution for decision-making problems involving conflicting objectives. However, achieving high-quality approxim…
cs.LG2025
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
Tianmeng Hu, Yongzheng Cui, Rui Tang +2
Value decomposition is a central approach in multi-agent reinforcement learning (MARL), enabling centralized training with decentralized execution by factorizing the global value f…