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researcher

Nilaksh

2 papers hereh-index 13 citations2 works total

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fields
  • cs.CV1
  • cs.LG1

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collaborators

2 papers

cs.CV2026

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

Nilaksh, Saurav Jha, Artem Zholus +1

World model-based policy evaluation is a practical proxy for testing real-world robot control by rolling out candidate actions in action-conditioned video diffusion models. As thes…

cs.LG2026

Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning

Nilaksh, Antoine Clavaud, Mathieu Reymond +2

In streaming Reinforcement Learning (RL), transitions are observed and discarded immediately after a single update. While this minimizes resource usage for on-device applications,…

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