| Smirl: Surprise minimizing reinforcement learning in unstable environments G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine arXiv preprint arXiv:1912.05510, 2019 | 19 | 2019 |
| SMiRL: Surprise minimizing RL in dynamic environments G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine | 12 | 2020 |
| Compositional plan vectors C Devin, D Geng, P Abbeel, T Darrell, S Levine Advances in Neural Information Processing Systems 32, 2019 | 8 | 2019 |
| Plan arithmetic: Compositional plan vectors for multi-task control C Devin, D Geng, P Abbeel, T Darrell, S Levine arXiv preprint arXiv:1910.14033, 2019 | 6 | 2019 |
| Machine Learning Crash Course: Part 4-The Bias-Variance Dilemma [Internet] D Geng, S Shih Mach Learn@ Berkeley, 2017 | 3 | 2017 |
| Comparing Correspondences: Video Prediction with Correspondence-wise Losses D Geng, M Hamilton, A Owens Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| SMiRL: Surprise Minimizing RL in Entropic Environments G Berseth, D Geng, C Devin, D Jayaraman, C Finn, S Levine | 1 | 2019 |
