Hu, Jiaheng

10 publications

AAAI 2025 Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

CoRL 2025 SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL Jiaheng Hu, Peter Stone, Roberto Martín-Martín

NeurIPS 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín

CoRL 2024 Learning to Look: Seeking Information for Decision Making via Policy Factorization Shivin Dass, Jiaheng Hu, Ben Abbatematteo, Peter Stone, Roberto Martín-Martín

NeurIPS 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone

NeurIPS 2023 ELDEN: Exploration via Local Dependencies Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín

NeurIPSW 2023 Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-Horizon Decision-Making in Embodied AI Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

NeurIPSW 2023 Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-Horizon Decision-Making in Embodied AI Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

CoRL 2022 GLSO: Grammar-Guided Latent Space Optimization for Sample-Efficient Robot Design Automation Jiaheng Hu, Julian Whitman, Howie Choset

AAAI 2020 Communication Learning via Backpropagation in Discrete Channels with Unknown Noise Benjamin Freed, Guillaume Sartoretti, Jiaheng Hu, Howie Choset