3 papers
cs.AI2026
OLLM: Options-based Large Language Models
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
We introduce Options LLM (OLLM), a simple, general method that replaces the single next-token prediction of standard LLMs with a \textit{set of learned options} for the next token,…
cs.AI2026
MRS: Multi-Resolution Skills for HRL Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
Hierarchical reinforcement learning (HRL) decomposes the policy into a manager and a worker, enabling long-horizon planning but introducing a performance gap on tasks requiring agi…
cs.RO2025
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
Hierarchical Reinforcement Learning (HRL) agents often struggle with long-horizon visual planning due to their reliance on error-prone distance metrics. We propose Discrete Hierarc…