Carlos Florensa

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 18

Top Topics

State Abstraction

Reinforcement Learning

Capacity Planning

Robotic Control

Top Venues

Publications

Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? CoRR (2021)
Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS (2021)
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. ICRA (2020)
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. CoRR (2020)
Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel
Sub-policy Adaptation for Hierarchical Reinforcement Learning. ICLR (2020)
Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held
Adaptive Variance for Changing Sparse-Reward Environments. CoRR (2019)
Yiming Ding, Carlos Florensa, Pieter Abbeel, Mariano Phielipp
Goal-conditioned Imitation Learning. NeurIPS (2019)
Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel
Sub-policy Adaptation for Hierarchical Reinforcement Learning. CoRR (2019)
Carlos Florensa, Jonas Degrave, Nicolas Heess, Jost Tobias Springenberg, Martin A. Riedmiller
Self-supervised Learning of Image Embedding for Continuous Control. CoRR (2019)
Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel
Goal-conditioned Imitation Learning. CoRR (2019)
Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held
Adaptive Variance for Changing Sparse-Reward Environments. ICRA (2019)
Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel
Automatic Goal Generation for Reinforcement Learning Agents. ICML (2018)
Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel
Reverse Curriculum Generation for Reinforcement Learning. CoRL (2017)
Carlos Florensa, Pablo García-Herreros, Pratik Misra, Erdem Arslan, Sanjay Mehta, Ignacio E. Grossmann
Capacity planning with competitive decision-makers: Trilevel MILP formulation, degeneracy, and solution approaches. Eur. J. Oper. Res. 262 (2) (2017)
Carlos Florensa, Yan Duan, Pieter Abbeel
Stochastic Neural Networks for Hierarchical Reinforcement Learning. ICLR (Poster) (2017)
Carlos Florensa, Yan Duan, Pieter Abbeel
Stochastic Neural Networks for Hierarchical Reinforcement Learning. CoRR (2017)
Carlos Florensa, David Held, Markus Wulfmeier, Pieter Abbeel
Reverse Curriculum Generation for Reinforcement Learning. CoRR (2017)
David Held, Xinyang Geng, Carlos Florensa, Pieter Abbeel
Automatic Goal Generation for Reinforcement Learning Agents. CoRR (2017)