Feng, Shengyu

6 publications

ICML 2025 Regularized Langevin Dynamics for Combinatorial Optimization Shengyu Feng, Yiming Yang

AAAI 2025 SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch Shengyu Feng, Yiming Yang

ICLR 2025 Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

WACV 2023 Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi

ICLR 2021 Batch Reinforcement Learning Through Continuation Method Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed Chi, Honglak Lee, Minmin Chen

NeurIPS 2020 Memory Based Trajectory-Conditioned Policies for Learning from Sparse Rewards Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio, Mohammad Norouzi, Honglak Lee