Follow
Carlos Florensa
Title
Cited by
Cited by
Year
Automatic goal generation for reinforcement learning agents
C Florensa, D Held, X Geng, P Abbeel
International Conference on Machine Learning (ICML), 2017
512*2017
Reverse curriculum generation for reinforcement learning
C Florensa, D Held, M Wulfmeier, P Abbeel
Conference on Robot Learning (CoRL), 2017
4692017
Stochastic neural networks for hierarchical reinforcement learning
C Florensa, Y Duan, P Abbeel
International Conference on Learning Representations (ICLR), 2017
4012017
Goal-conditioned Imitation Learning
Y Ding, C Florensa, M Phielipp, P Abbeel
Advances in Neural Information Processing Systems (NeurIPS), 2019
2222019
Sub-policy Adaptation for Hierarchical Reinforcement Learning
AC Li, C Florensa, I Clavera, P Abbeel
arXiv preprint arXiv:1906.05862, 2019
872019
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
542020
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
522019
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
332017
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, 26345-26357, 2021
292021
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
72021
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
72021
Adaptive Variance for Changing Sparse-Reward Environments
X Lin, P Guo, C Florensa, D Held
International Conference on Robotics and Automation, 2019
52019
“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
42013
Systems and methods for robotic picking and perturbation
Y Duan, I Rust, AA Vaziri, X Chen, C Florensa
US Patent 11,911,903, 2024
2024
What Supervision Scales? Practical Learning Through Interaction
C Florensa
UC Berkeley, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–15