arXiv (OAI)
open access
Bridging Continuous-time LQR and Reinforcement Learning via Gradient Flow of the Bellman Error
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
- Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View#609600
- Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View#458271
- Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization#1064211
- Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning#974961
- Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments#614949
Record · ID 147105
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