Cansu Sancaktar
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cansusancaktar.bsky.social
Cansu Sancaktar
@cansusancaktar.bsky.social
PhD Student @ Max Planck Institute for Intelligent Systems & University of Tübingen | Working on intrinsically motivated open-ended reinforcement learning 🤖
The agent learns a world model during exploration that can later be re-used to solve downstream tasks. We demonstrate more sample-efficient policy learning with SENSEI compared to exploration via Plan2Explore.

6/8
July 14, 2025 at 8:02 AM
Through the combination of semantic exploration with epistemic uncertainty, the agent unlocks a variety of interesting behaviors during task-free exploration. For example, in Robodesk the agent focuses on interacting with all available objects 🦾
5/8
July 14, 2025 at 8:02 AM
✨Introducing SENSEI✨ We bring semantically meaningful exploration to model-based RL using VLMs.

With intrinsic rewards for novel yet useful behaviors, SENSEI showcases strong exploration in MiniHack, Pokémon Red & Robodesk.

Accepted at ICML 2025🎉

Joint work with @cgumbsch.bsky.social
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July 14, 2025 at 8:02 AM