关注
Carlos Florensa
Carlos Florensa
在 berkeley.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Stochastic neural networks for hierarchical reinforcement learning
C Florensa, Y Duan, P Abbeel
International Conference on Learning Representations (ICLR), 2017
3072017
Reverse curriculum generation for reinforcement learning
C Florensa, D Held, M Wulfmeier, P Abbeel
Conference on Robot Learning (CoRL), 2017
3012017
Automatic goal generation for reinforcement learning agents
C Florensa, D Held, X Geng, P Abbeel
International Conference on Machine Learning (ICML), 2017
301*2017
Goal-conditioned Imitation Learning
Y Ding, C Florensa, M Phielipp, P Abbeel
Advances in Neural Information Processing Systems (NeurIPS), 2019
862019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
AC Li, C Florensa, I Clavera, P Abbeel
arXiv preprint arXiv:1906.05862, 2019
402019
Self-supervised learning of image embedding for continuous control
C Florensa, J Degrave, N Heess, JT Springenberg, M Riedmiller
arXiv preprint arXiv:1901.00943, 2019
342019
Guided uncertainty-aware policy optimization: Combining learning and model-based strategies for sample-efficient policy learning
MA Lee, C Florensa, J Tremblay, N Ratliff, A Garg, F Ramos, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 7505-7512, 2020
312020
Capacity planning with competitive decision-makers: trilevel MILP formulation, degeneracy, and solution approaches
C Florensa, P Garcia-Herreros, P Misra, E Arslan, S Mehta, IE Grossmann
European Journal of Operational Research 262 (2), 449-463, 2017
26*2017
Adaptive Variance for Changing Sparse-Reward Environments
X Lin, P Guo, C Florensa, D Held
International Conference on Robotics and Automation, 2019
42019
“The magic of light!”-An entertaining optics and photonics awareness program
C Florensa, M Martí, SC Kumar, S Carrasco
Education and Training in Optics and Photonics, EWF2, 2013
32013
Systems and methods for robotic picking
Y Duan, X Chen, M Rohaninejad, N Mishra, YX Liu, AA Vaziri, T Haoran, ...
US Patent App. 17/014,545, 2021
22021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
K Rakelly, A Gupta, C Florensa, S Levine
Advances in Neural Information Processing Systems 34, 2021
12021
Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning
J Tremblay, D Fox, M Lee, C Florensa, ND Ratliff, G Animesh, FT Ramos
US Patent App. 16/780,465, 2021
2021
Systems and methods for robotic picking and perturbation
Y Duan, I Rust, AA Vaziri, X Chen, C Florensa
US Patent App. 17/014,194, 2021
2021
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