arXiv (All)
open access
Understanding Multimodality in Generative Behavioral Cloning
Behavioral cloning becomes challenging when the same observation admits several valid actions. We study how generative behavioral-cloning policies represent such multimodal expert behavior and identify different bottlenecks across model parameterizations. For latent-variable policies, preserving dem
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Normative Networks for Source Separation via Local Plasticity and Dendritic Computation#204801
- Latent Reuse in Agent Skills: Multi-modal Clone Detection at Ecosystem Scale#618003
- Latent Reuse in Agent Skills: Multi-modal Clone Detection at Ecosystem Scale#617503
- Annealed Leap-Point Sampler for Multimodal Target Distributions#1117189
- Generative AI and the Future of Democratic Citizenship#724824
Record · ID 1142694
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive