# Stanford AI Lab Papers at CoRL 2021

DevFeed: [Stanford AI Lab Papers at CoRL 2021](<https://devfeed.tech/articles/stanford-ai-lab-papers-at-corl-2021-7580.md>)

Original publisher: [Read original article](<https://ai.stanford.edu/blog/corl-2021/>)

Author: Compiled by Drew A. Hudson

Published: 2021-11-05T07:00:00Z

Content type: article

Language: en

Sources: [The Stanford AI Lab Blog](<https://devfeed.tech/sources/the-stanford-ai-lab-blog.md>)

Topics: [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Robotic manipulation](<https://devfeed.tech/topics/robotic-manipulation.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [imitation](<https://devfeed.tech/tags/imitation.md>), [learning](<https://devfeed.tech/tags/learning.md>), [offline](<https://devfeed.tech/tags/offline.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [rl](<https://devfeed.tech/tags/rl.md>), [robotic-manipulation](<https://devfeed.tech/tags/robotic-manipulation.md>)

## AI overview

The Stanford AI Lab presents its work accepted at the Conference on Robot Learning (CoRL 2021). The article lists projects covering language-informed robot autonomy, household-activity benchmarking, human-robot collaboration, imitation learning, model-based and deep reinforcement learning, reward and preference learning, and robotic manipulation.

## Source excerpt

The Conference on Robot Learning (CoRL 2021) will take place next week. We're excited to share all the work from SAIL that will be presented, and you'll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that's happening at Stanford! List of Accepted Papers LILA: Language-Informed Latent Actions Authors: Siddharth Karamcheti*, Megha Srivastava*, Percy Liang, Dorsa Sadigh Contact: skaramcheti@cs.stanford.edu, megha@cs.stanford.edu Keywords: natural language, shared autonomy, human-robot interaction BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments Authors: Sanjana Srivastava*, Chengshu Li*, Michael Lingelbach*, Roberto Martín-Martín*, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei Contact: sanjana2@stanford.edu Links: Paper | Website Keywords: embodied ai, benchmarking, household activities Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Authors: Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese Contact: chenwj@stanford.edu Links: Paper | Website Keywords: learning for human-robot collaboration, imitation learning DiffImpact: Differentiable Rendering and Identification of Impact Sounds Authors: Samuel Clarke, Negin Heravi, Mark Rau, Ruohan Gao, Jiajun Wu, Doug James, Jeannette Bohg Contact: spclarke@stanford.edu Links: Paper | Website Keywords: differentiable sound rendering, auditory scene analysis Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Authors: Bohan Wu, Suraj Nair, Li Fei-Fei*, Chelsea Finn* Contact: bohanwu@cs.stanford.edu Links: Paper Keywords: model-based reinforcement learning, long-horizon tasks GRAC: Self-Guided and Self-Regularized Actor-Critic Authors: Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg Contact: