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2020 – today
- 2021
[c8]Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine:
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021: 26345-26357- [i9]Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine:
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? CoRR abs/2106.07278 (2021) - 2020
- [c7]Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel:
Sub-policy Adaptation for Hierarchical Reinforcement Learning. ICLR 2020 - [c6]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: 7505-7512 - [i8]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 abs/2005.10872 (2020)
2010 – 2019
- 2019
- [c5]Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held:
Adaptive Variance for Changing Sparse-Reward Environments. ICRA 2019: 3210-3216 - [c4]Yiming Ding, Carlos Florensa, Pieter Abbeel, Mariano Phielipp:
Goal-conditioned Imitation Learning. NeurIPS 2019: 15298-15309 - [i7]Carlos Florensa, Jonas Degrave, Nicolas Heess, Jost Tobias Springenberg, Martin A. Riedmiller:
Self-supervised Learning of Image Embedding for Continuous Control. CoRR abs/1901.00943 (2019) - [i6]Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held:
Adaptive Variance for Changing Sparse-Reward Environments. CoRR abs/1903.06309 (2019) - [i5]Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel:
Goal-conditioned Imitation Learning. CoRR abs/1906.05838 (2019) - [i4]Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel:
Sub-policy Adaptation for Hierarchical Reinforcement Learning. CoRR abs/1906.05862 (2019) - 2018
- [c3]Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel:
Automatic Goal Generation for Reinforcement Learning Agents. ICML 2018: 1514-1523 - 2017
- [j1]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): 449-463 (2017) - [c2]Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel:
Reverse Curriculum Generation for Reinforcement Learning. CoRL 2017: 482-495 - [c1]Carlos Florensa, Yan Duan, Pieter Abbeel:
Stochastic Neural Networks for Hierarchical Reinforcement Learning. ICLR (Poster) 2017 - [i3]Carlos Florensa, Yan Duan, Pieter Abbeel:
Stochastic Neural Networks for Hierarchical Reinforcement Learning. CoRR abs/1704.03012 (2017) - [i2]David Held, Xinyang Geng, Carlos Florensa, Pieter Abbeel:
Automatic Goal Generation for Reinforcement Learning Agents. CoRR abs/1705.06366 (2017) - [i1]Carlos Florensa, David Held, Markus Wulfmeier, Pieter Abbeel:
Reverse Curriculum Generation for Reinforcement Learning. CoRR abs/1707.05300 (2017)
Coauthor Index
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