{
  "publications": [
    {
      "title": "Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient",
      "authors": [
        "Haoxiang You*",
        "Yilang Liu*",
        "Davis Zong",
        "Qian Wang",
        "Teeratham Vitchutripop",
        "Qi Wang",
        "Daniel Rakita",
        "Ian Abraham"
      ],
      "venue": "Under review, 2026",
      "thumbnail": "images/G1.mp4",
      "selected": 1,
      "award": "",
      "links": {
        "pdf": "https://arxiv.org/pdf/2605.26478",
        "arxiv": "https://arxiv.org/abs/2605.26478",
        "project": "https://haoxiangyou.github.io/sdpg-website/"
      }
    },
    {
      "title": "Asymptotically Optimal Ergodic Coverage on Generalized Motion Fields",
      "authors": [
        "Christian Hughes",
        "Yilang Liu",
        "Yanis Lahrach",
        "Julia Engdahl",
        "Houston Warren",
        "Darrick Lee",
        "Fabio Ramos",
        "Travis Miles",
        "Ian Abraham"
      ],
      "venue": "RSS 2026",
      "thumbnail": "images/sphero_example.jpg",
      "selected": 1,
      "award": "",
      "links": {
        "pdf": "https://arxiv.org/pdf/2605.13442",
        "arxiv": "https://arxiv.org/abs/2605.13442"
      }
    },
    {
      "title": "Sample-Based Hybrid Mode Control: Asymptotically Optimal Switching of Algorithmic and Non-Differentiable Control Modes",
      "authors": [
        "Yilang Liu",
        "Haoxiang You",
        "Ian Abraham"
      ],
      "venue": "ICRA 2026",
      "thumbnail": "images/circus_robot.mp4",
      "selected": 1,
      "award": "",
      "links": {
        "pdf": "https://arxiv.org/pdf/2510.19074",
        "arxiv": "https://arxiv.org/abs/2510.19074",
        "project": "https://yilangliu.github.io/hybrid_mode_sampling/"
      }
    },
    {
      "title": "Accelerating Visual-Policy Learning through Parallel Differentiable Simulation",
      "authors": [
        "Haoxiang You",
        "Yilang Liu",
        "Ian Abraham"
      ],
      "venue": "NeurIPS 2025",
      "thumbnail": "images/dva.mp4",
      "selected": 1,
      "award": "Spotlight",
      "links": {
        "pdf": "https://arxiv.org/pdf/2505.10646",
        "arxiv": "https://arxiv.org/abs/2505.10646",
        "code": "https://github.com/HaoxiangYou/D.VA",
        "project": "https://haoxiangyou.github.io/Dva_website/"
      }
    },
    {
      "title": "An Energy-Saving Snake Locomotion Gait Policy Obtained Using Deep Reinforcement Learning",
      "authors": [
        "Yilang Liu",
        "Amir Barati Farimani"
      ],
      "venue": "Journal of Mechanisms and Robotics, 2023",
      "thumbnail": "images/snake.png",
      "selected": 1,
      "award": "",
      "links": {
        "pdf": "https://arxiv.org/pdf/2103.04511",
        "arxiv": "https://arxiv.org/abs/2103.04511",
        "journal": "https://asmedigitalcollection.asme.org/mechanismsrobotics/article/15/4/041007/1145341/An-Energy-Saving-Snake-Locomotion-Pattern-Learned"
      }
    }
  ]
}
