Home ›
Entities
› academia
› Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks
Research article (Frontiers in Robotics and AI, 2021) · cited 24× · AI/ML
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks
Summary
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks is a scholarly article[1].
Key Facts
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-tactile-sensing-to-improve-the-sample-efficiency-and-performance-of-deep-deterministic-policy-gradients-for-simula
MLA“Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-tactile-sensing-to-improve-the-sample-efficiency-and-performance-of-deep-deterministic-policy-gradients-for-simula.
BibTeX@misc{4ortxyz_using-tactile-sensing-to-improve-the-sample-efficiency-and-performance-of-deep-deterministic-policy-gradients-for-simula_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks}}, year = {2026}, url = {https://4ort.xyz/entity/using-tactile-sensing-to-improve-the-sample-efficiency-and-performance-of-deep-deterministic-policy-gradients-for-simula}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks — https://4ort.xyz/entity/using-tactile-sensing-to-improve-the-sample-efficiency-and-performance-of-deep-deterministic-policy-gradients-for-simula (retrieved 2026-05-24)
