Anish Diwan

Research Interests

  • Reinforcement Learning
  • Imitation Learning
  • Learning Under Partial Observability
  • Score-Based Generative Models

Contact

Room E226, Building S2|02
Hochschulstr. 10, 64289 Darmstadt
anish.diwan@tu-darmstadt.de
anish.diwan@robot-learning.de

Anish Diwan joined the Intelligent Autonomous Systems Group as a Ph.D. student in April 2025. Currently, he works on imitation learning and reinforcement learning under partial observability, and exploring techniques like score-based generative models for learning data-driven reward functions.

Before his PhD, Anish Diwan completed his Master Degree in Robotics at the Technische Universiteit Delft with Cum Laude honours. His thesis entitled “Noise-conditioned Energy-based Annealed Rewards" was written under the supervision of Prof. Jens Kober , Prof. Jan Peters, and Julen Urain.

Research Interests

Reinforcement Learning, Imitation Learning, Learning Under Partial Observability, Score-Based Generative Models

Key References

    •       Bib
      Diwan, A.A.; Urain, J.; Kober, J.; Peters, J. (2025). Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation, International Conference on Learning Representations (ICLR).