publications

Journal Articles

2025

1. Feel the Force: Contact-Driven Learning from Humans

   Ademi Adeniji^*, Zhuoran Chen^*, Vincent Liu, Venkatesh Pattabiraman, and 4 more authors

   2025

   arXiv Bib Blog Code Website

   @article{adeniji2025feelforcecontactdrivenlearning,
     title = {Feel the Force: Contact-Driven Learning from Humans},
     author = {Adeniji, Ademi and Chen, Zhuoran and Liu, Vincent and Pattabiraman, Venkatesh and Bhirangi, Raunaq and Haldar, Siddhant and Abbeel, Pieter and Pinto, Lerrel},
     year = {2025},
     eprint = {2506.01944},
     archiveprefix = {arXiv},
     primaryclass = {cs.RO},
     url = {https://arxiv.org/abs/2506.01944},
   }

2. EgoZero: Robot Learning from Smart Glasses

   Vincent Liu^*, Ademi Adeniji^*, Haotian Zhan^*, Raunaq Bhirangi, and 2 more authors

   2025

   arXiv Bib Blog Code Website

   @article{liu2025egozerorobotlearningsmart,
     title = {EgoZero: Robot Learning from Smart Glasses},
     author = {Liu, Vincent and Adeniji, Ademi and Zhan, Haotian and Bhirangi, Raunaq and Abbeel, Pieter and Pinto, Lerrel},
     year = {2025},
     eprint = {2505.20290},
     primaryclass = {cs.RO},
     url = {https://arxiv.org/abs/2505.20290},
   }

2019

1. Recurrent Control Nets for Deep Reinforcement Learning

   Vincent Liu, Ademi Adeniji, Nate Lee, Jason Zhao, and 1 more author

   Stanford Undergraduate Research Journal 2019

   arXiv Bib Code

   @article{liu2019recurrentcontrolnetsdeep,
     title = {Recurrent Control Nets for Deep Reinforcement Learning},
     author = {Liu, Vincent and Adeniji, Ademi and Lee, Nate and Zhao, Jason and Srouji, Mario},
     journal = {Stanford Undergraduate Research Journal 2019},
     year = {2019},
     eprint = {1901.01994},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/1901.01994},
   }

Conference Articles

2024

1. Language Reward Modulation for Pretraining Reinforcement Learning

   Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, and 2 more authors

   In RLC Reinforcement Learning Beyond Rewards Workshop 2024
   In RLC Training Agents with Foundation Models Workshop 2024

   arXiv Bib Blog Code

   @inproceedings{adeniji2023languagerewardmodulationpretraining,
     title = {Language Reward Modulation for Pretraining Reinforcement Learning},
     author = {Adeniji, Ademi and Xie, Amber and Sferrazza, Carmelo and Seo, Younggyo and James, Stephen and Abbeel, Pieter},
     booktitle = {In RLC Reinforcement Learning Beyond Rewards Workshop 2024},
     booktitle2 = {In RLC Training Agents with Foundation Models Workshop 2024},
     year = {2024},
     eprint = {2308.12270},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2308.12270},
   }

2023

1. Video Prediction Models as Rewards for Reinforcement Learning

   Alejandro Escontrela^*, Ademi Adeniji^*, Wilson Yan^*, Ajay Jain, and 5 more authors

   In NeurIPS 2023

   arXiv Bib Blog Code Website

   @inproceedings{escontrela2023videopredictionmodelsrewards,
     title = {Video Prediction Models as Rewards for Reinforcement Learning},
     author = {Escontrela, Alejandro and Adeniji, Ademi and Yan, Wilson and Jain, Ajay and Peng, Xue Bin and Goldberg, Ken and Lee, Youngwoon and Hafner, Danijar and Abbeel, Pieter},
     booktitle = {In NeurIPS 2023},
     year = {2023},
     eprint = {2305.14343},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2305.14343},
   }

2. Skill-Based Reinforcement Learning with Intrinsic Reward Matching

   Ademi Adeniji^*, Amber Xie^*, and Pieter Abbeel

   In RLC Reinforcement Learning Beyond Rewards Workshop 2024 (Spotlight)
   In RLC Training Agents with Foundation Models Workshop 2024
   In NeurIPS Intrinsically Motivated Open-ended Learning Workshop 2023

   Awarded arXiv Bib Blog Code

   Spotlight

   @inproceedings{adeniji2023skillbasedreinforcementlearningintrinsic,
     title = {Skill-Based Reinforcement Learning with Intrinsic Reward Matching},
     author = {Adeniji, Ademi and Xie, Amber and Abbeel, Pieter},
     booktitle = {In RLC Reinforcement Learning Beyond Rewards Workshop 2024 (Spotlight)},
     booktitle2 = {In RLC Training Agents with Foundation Models Workshop 2024},
     booktitle3 = {In NeurIPS Intrinsically Motivated Open-ended Learning Workshop 2023},
     year = {2023},
     eprint = {2210.07426},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2210.07426},
   }

Theses

2021

1. Learning Representations for Unsupervised Skill Discovery

   Ademi Adeniji

   2021

   Advisors: L Fei-Fei, Kuan Fang, Animesh Garg, Yuke Zhu

   Bib PDF

   @thesis{adeniji2021learningrepresentations,
     title = {Learning Representations for Unsupervised Skill Discovery},
     author = {Adeniji, Ademi},
     school = {Stanford University},
     type = {Undergraduate Honors Thesis},
     year = {2021},
     url = {https://drive.google.com/file/d/1zzUo0O1sdwow0vHvyht7G7ikrbb_nZAH/view?usp=sharing},
     note = {Advisors: L Fei-Fei, Kuan Fang, Animesh Garg, Yuke Zhu}
   }

2020

1. Latent Actor-Critic with Intrinsic Motivation and Skill Hierarchy

   Ademi Adeniji, and Eva Zhang

   2020

   Bib PDF

   @thesis{adeniji2020latentactorcritic,
     title = {Latent Actor-Critic with Intrinsic Motivation and Skill Hierarchy},
     author = {Adeniji, Ademi and Zhang, Eva},
     school = {Stanford University},
     type = {Course Project},
     year = {2020},
     url = {https://drive.google.com/file/d/1AnTCsq9rUZF-m9AFBeZEgFjGd4DVO33I/view?usp=sharing},
   }

2019

1. Latent Skill Transfer for Simulated Agents

   Ademi Adeniji

   2019

   Bib PDF

   @thesis{adeniji2019latentskilltransfer,
     title = {Latent Skill Transfer for Simulated Agents},
     author = {Adeniji, Ademi},
     school = {Stanford University},
     type = {Course Project},
     year = {2019},
     url = {https://drive.google.com/file/d/1LZmucvSjb3209sNswl-4ZS8mTdGDe_MO/view?usp=sharing},
   }

2. Volumetric Semantic Segmentation of Glioblastoma Tumors from MRI Studies

   Ademi Adeniji, and Vincent Liu

   2019

   Bib PDF Code

   @thesis{adeniji2019volumetricsegmentationtumor,
     author = {Adeniji, Ademi and Liu, Vincent},
     title = {Volumetric Semantic Segmentation of Glioblastoma Tumors from MRI Studies},
     school = {Stanford University},
     type = {Course Project},
     year = {2019},
     url = {https://drive.google.com/file/d/11tmPV9PguRXKn-ZWsSea41p-Edo-U3DB/view},
   }

3. Sequence-to-Sequence Generative Argumentative Dialogue Systems with Self-Attention

   Ademi Adeniji, Nate Lee, and Vincent Liu

   2019

   Awarded Bib PDF Code Poster

   CS 224N Best Custom Project

   @thesis{adeniji2019sequence,
     author = {Adeniji, Ademi and Lee, Nate and Liu, Vincent},
     title = {Sequence-to-Sequence Generative Argumentative Dialogue Systems with Self-Attention},
     school = {Stanford University},
     type = {CS 224N Course Project},
     year = {2019},
     url = {https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1194/reports/custom/15844523.pdf},
   }