Jiaheng Hu

11 papers · 2020–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 👥 Mega-Team · Legion 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (68)

Venues

AAAI (3) CoRL (3) NeurIPS (3) RSS (2)

Top co-authors

Roberto Martín-Martín (8) Peter Stone (7) Zizhao Wang (3) Shivin Dass (2) Howie Choset (2) Ben Abbatematteo (2) Derick Seale (1) Yecheng Jason Ma (1) Archit Sharma (1) Abhishek Gupta (1)

Research topics

Reinforcement Learning (8) Methods (7) Artificial Intelligence (6) Applications (6) Core AI (5) Machine Learning (4) Robotics (3) Capabilities (3) Learning Types (3) Learning Paradigms (2) Computer Vision (1) Deep Learning (1) Mathematics & Optimization (1) Analysis (1) Application Areas (1)

Keywords

unsupervised skill discovery (3) downstream task (2) mobile manipulation (2) skill discovery (2) robotic navigation (1) policy learning (1) multi-agent reinforcement learning (1) human-robot interaction (1) sim-to-real transfer (1) gradient estimation (1) hierarchical reinforcement learning (1) robot learning (1) mutual information (1) neural rendering (1) skill chaining (1) generalization ability (1) mutual information maximization (1) bayesian optimization (1) robot manipulation (1) scene reconstruction (1)

Papers

Multi-Step Deformable Gaussian Splatting for Dynamic Scene Rendering AAAI 2026 Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025 SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL CoRL 2025 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 Learning to Look: Seeking Information for Decision Making via Policy Factorization CoRL 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 Causal Policy Gradient for Whole-Body Mobile Manipulation RSS 2023 ELDEN: Exploration via Local Dependencies NeurIPS 2023 GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation CoRL 2022 Communication Learning via Backpropagation in Discrete Channels with Unknown Noise AAAI 2020