Repositorio UNAB
metadata only
Evaluating Deep Actor–Critic Methods for Path Planning of Mobile Manipulators Under Wheel–Terrain Interaction
INDEXACIÓN: SCOPUS
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
- A Concentration Bound for Two-Timescale Actor-Critic Algorithm#1077046
- Unified Trajectory Matching Policy Optimization: Diverse T2I Generation and VLA Generalization#1128947
- RLVR$^{2}$: Reinforcement Learning with Verifiable Rubric-based Ranking#1049198
- Critic-Free Policy Iteration for Continuous-Time Zero-Sum Games: A Policy-Space Riccati Approach#999085
- Official Review · ICLR 2024#787006
Record · ID 1092398
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