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

GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation. - Jiaheng Hu; Julian Whitman; Howie Choset (CoRL, 2022)

Modular Robot Design Optimization with Generative Adversarial Networks. - Jiaheng Hu; Julian Whitman; Matthew J. Travers; Howie Choset (ICRA, 2022)

Large-Scale Heterogeneous Multi-robot Coverage via Domain Decomposition and Generative Allocation. - Jiaheng Hu; Howard Coffin; Julian Whitman; Matthew J. Travers; Howie Choset (WAFR, 2022)

ELDEN: Exploration via Local Dependencies. - Zizhao Wang; Jiaheng Hu; Peter Stone 001; Roberto Martín-Martín (NeurIPS, 2023)

Causal Policy Gradient for Whole-Body Mobile Manipulation. - Jiaheng Hu; Peter Stone 001; Roberto Martín-Martín (Robotics: Science and Systems, 2023)

Teleoperated Robot Grasping in Virtual Reality Spaces. - Jiaheng Hu; David Watkins; Peter Allen (CoRR, 2023)

Guided Deep Reinforcement Learning for Articulated Swimming Robots. - Jiaheng Hu; Tony Dear (CoRR, 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 001; Li Fei-Fei 001; Roberto Martín-Martín (CoRR, 2023)

Learning to Look: Seeking Information for Decision Making via Policy Factorization. - Shivin Dass; Jiaheng Hu; Ben Abbatematteo; Peter Stone 001; Roberto Martín-Martín (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning. - Jiaheng Hu; Zizhao Wang; Peter Stone 001; 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 001; Scott Niekum; Peter Stone 001 (NeurIPS, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. - Shivin Dass; Wensi Ai; Yuqian Jiang; Samik Singh; Jiaheng Hu; Ruohan Zhang; Peter Stone 001; Ben Abbatematteo; Roberto Martín-Martín (CoRR, 2024)

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. - Chen Tang 001; Ben Abbatematteo; Jiaheng Hu; Rohan Chandra; Roberto Martín-Martín; Peter Stone 001 (AAAI, 2025)

FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. - Jiaheng Hu; Rose Hendrix; Ali Farhadi; Aniruddha Kembhavi; Roberto Martín-Martín; Peter Stone 001; Kuo-Hao Zeng; Kiana Ehsani (ICRA, 2025)

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL. - Jiaheng Hu; Peter Stone 001; Roberto Martín-Martín (CoRR, 2025)

A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon. - Cameron Angliss; Jiaxun Cui; Jiaheng Hu; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)

L3M+P: Lifelong Planning with Large Language Models. - Krish Agarwal; Yuqian Jiang; Jiaheng Hu; Bo Liu 042; Peter Stone 001 (CoRR, 2025)

RoboSSM: Scalable In-context Imitation Learning via State-Space Models. - Youngju Yoo; Jiaheng Hu; Yifeng Zhu; Bo Liu 042; Qiang Liu 001; Roberto Martín-Martín; Peter Stone 001 (CoRR, 2025)

Mash, Spread, Slice! Learning to Manipulate Object States via Visual Spatial Progress. - Priyanka Mandikal; Jiaheng Hu; Shivin Dass; Sagnik Majumder; Roberto Martín-Martín; Kristen Grauman (CoRR, 2025)