Aligning Human and Robot Representations

Author:

Bobu Andreea1ORCID,Peng Andi2ORCID,Agrawal Pulkit2ORCID,Shah Julie A2ORCID,Dragan Anca D.1ORCID

Affiliation:

1. University of California, Berkeley, Berkeley, CA, USA

2. MIT, Cambridge, MA, USA

Funder

NSF Graduate Research Fellowship

Air Force Office of Scientific Research (AFOSR)

Open Philanthropy

NSH Human-Centered Computing

Apple AI/ML PhD Fellowship

Publisher

ACM

Reference169 articles.

1. Pieter Abbeel and Andrew Y Ng. 2004. Apprenticeship learning via inverse reinforcement learning. In Machine Learning (ICML), International Conference on. ACM.

2. David Abel, Dilip Arumugam, Lucas Lehnert, and Michael Littman. 2018. State abstractions for lifelong reinforcement learning. In International Conference on Machine Learning. PMLR, 10--19.

3. On the expressivity of markov reward;Abel David;Advances in Neural Information Processing Systems,2021

4. Pulkit Agrawal. 2022. The Task Specification Problem. In Conference on Robot Learning. PMLR, 1745--1751.

5. Guillaume Alain and Yoshua Bengio. 2017. Understanding intermediate layers using linear classifier probes. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24--26, 2017, Workshop Track Proceedings. OpenReview.net. https://openreview.net/forum?id=HJ4-rAVtl

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