Anish Diwan

Ph.D. Student at Intelligent Autonomous Systems, TU Darmstadt

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I am a Ph.D. student advised by Prof. Jan Peters at the Intelligent Autonomous Systems group at TU Darmstadt. I am interested in the fields of robotics, reinforcement learning, imitation learning, and decision-making in partially observable and multi-agent settings. Currently, my research aims to improve the state of robotic locomotion and manipulation through data-driven reward functions, reinforcement learning, and visual/language inputs.

I received my MSc. in Robotics with cum laude honours from TU Delft where I worked on generative imitation learning techniques under the supervision of Prof. Jens Kober. In the past, I have held research positions in graph-based ML at the Robert Bosch Center For Data Science & AI at IIT Madras and have also interned in multi-agent coordination at Bosch Research.

In my spare time, I love photography and music. I also run an academic blog where I share archives of my lecture notes, paper summaries, and misc. ideas on robotics/ML.

Email: anish.diwan [at] robot-learning [dot] de
            diwan [at] ias.informatik.tu-darmstadt [dot] de

Socials: LinkedIn | GitHub | Notes

news

Apr 01, 2025 I started my Ph.D. in robot learning at IAS, TU Darmstadt!
Jan 22, 2025 My MSc. thesis was accepted at ICLR 2025 :page_facing_up:
Sep 19, 2024 I graduated MSc. Robotics from TU Delft with cum laude! 🎓

selected publications

  1. near_spin_kick.gif
    Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation
    Anish Abhijit DiwanJulen UrainJens Kober, and Jan Peters
    In International Conference on Learning Representations (ICLR), 2025
    Paper accepted. Jens Kober and Jan Peters supervised equally.