What is recorded here?
Combined demonstrations, autonomous rollouts and human interventions with value-based advantage estimates and conditioned policy extraction, iterating offline RL and real-robot deployment data collection.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
OfflineRL, advantage conditioning and human-gated DAgger have prior work explicitly acknowledged. Acquired delta is their VLA-scale integration, not invention of each component. Long task runs and throughput are source-reported, not independently verified deployment reliability.
Read the original work
- Physical Intelligence: advantage-conditioned learning from deployment and corrections — original technical report
- Physical Intelligence: advantage-conditioned learning from deployment and corrections — institutional account
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Ali Amin; Raichelle Aniceto; Ashwin Balakrishna; Kevin Black; Ken Conley; Grace Connors; James Darpinian; Karan Dhabalia; Jared DiCarlo; Danny Driess; Michael Equi; Adnan Esmail; Yunhao Fang; Chelsea Finn; Catherine Glossop; Thomas Godden; Ivan Goryachev; Lachy Groom; Hunter Hancock; Karol Hausman; Gashon Hussein; Brian Ichter; Szymon Jakubczak; Rowan Jen; Tim Jones; Ben Katz; Liyiming Ke; Chandra Kuchi; Marinda Lamb; Devin LeBlanc; Sergey Levine; Adrian Li-Bell; Yao Lu; Vishnu Mano; Mohith Mothukuri; Suraj Nair; Karl Pertsch; Allen Z. Ren; Charvi Sharma; Lucy Xiaoyang Shi; Laura Smith; Jost Tobias Springenberg; Kyle Stachowicz; Will Stoeckle; Alex Swerdlow; James Tanner; Marcel Torne; Quan Vuong; Anna Walling; Haohuan Wang; Blake Williams; Sukwon Yoo; Lili Yu; Ury Zhilinsky; Zhiyuan Zhou
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
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English catalogue narrative
Physical Intelligence: advantage-conditioned learning from deployment and corrections
Combined demonstrations, autonomous rollouts and human interventions with value-based advantage estimates and conditioned policy extraction, iterating offline RL and real-robot deployment data collection.
Scientific scope
OfflineRL, advantage conditioning and human-gated DAgger have prior work explicitly acknowledged. Acquired delta is their VLA-scale integration, not invention of each component. Long task runs and throughput are source-reported, not independently verified deployment reliability.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Ali Amin; Raichelle Aniceto; Ashwin Balakrishna; Kevin Black; Ken Conley; Grace Connors; James Darpinian; Karan Dhabalia; Jared DiCarlo; Danny Driess; Michael Equi; Adnan Esmail; Yunhao Fang; Chelsea Finn; Catherine Glossop; Thomas Godden; Ivan Goryachev; Lachy Groom; Hunter Hancock; Karol Hausman; Gashon Hussein; Brian Ichter; Szymon Jakubczak; Rowan Jen; Tim Jones; Ben Katz; Liyiming Ke; Chandra Kuchi; Marinda Lamb; Devin LeBlanc; Sergey Levine; Adrian Li-Bell; Yao Lu; Vishnu Mano; Mohith Mothukuri; Suraj Nair; Karl Pertsch; Allen Z. Ren; Charvi Sharma; Lucy Xiaoyang Shi; Laura Smith; Jost Tobias Springenberg; Kyle Stachowicz; Will Stoeckle; Alex Swerdlow; James Tanner; Marcel Torne; Quan Vuong; Anna Walling; Haohuan Wang; Blake Williams; Sukwon Yoo; Lili Yu; Ury Zhilinsky; Zhiyuan Zhou
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.