CiNii
metadata only
Lin, L.-J. : Scaling Up Reinforcament Learning for Robot Control, Proc. of 10th Int. Conf. on Machine Learning, pp.182-189 (1993).
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
- Improving the Robustness of Vision-Based Localization of Mobile Robots using Machine Learning / Lars Christian Offermann#1145531
- Samples That Matter: Principled Policy Learning for Robotics#354225
- Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control#792732
- Drift-Based Policy Optimization: Native One-Step Policy Learning for Online Robot Control#788732
- Imitation Learning for constrained robot motion and skill adaptation#436352
Record · ID 478168
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