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Which Mutual-Information Representation Learning Objectives are Sufficient for Control?


Jun 14, 2021
Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine

* 18 pages, 11 figures 

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Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning


May 26, 2020
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox

* International Conference in Robotics and Automation 2020 

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Goal-conditioned Imitation Learning


Jun 13, 2019
Yiming Ding, Carlos Florensa, Mariano Phielipp, Pieter Abbeel

* Presented at the Workshop on Self-Supervised Learning at ICML 2019 

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Sub-policy Adaptation for Hierarchical Reinforcement Learning


Jun 13, 2019
Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel

* Contributed talk at the Workshop on Multi-Task and Lifelong Reinforcement Learning at ICML 2019 

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Adaptive Variance for Changing Sparse-Reward Environments


Mar 15, 2019
Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held

* Accepted as a conference at International Conference on Robotics and Automation(ICRA) 2019 

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Self-supervised Learning of Image Embedding for Continuous Control


Jan 03, 2019
Carlos Florensa, Jonas Degrave, Nicolas Heess, Jost Tobias Springenberg, Martin Riedmiller

* Contributed talk at Inference to Control workshop at NeurIPS2018 

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Reverse Curriculum Generation for Reinforcement Learning


Jul 23, 2018
Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

* Published at the 1st Conference on Robot Learning (CoRL 2017) 

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Automatic Goal Generation for Reinforcement Learning Agents


Jul 23, 2018
Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel

* Accepted at ICML 2018, Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018 

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Stochastic Neural Networks for Hierarchical Reinforcement Learning


Apr 10, 2017
Carlos Florensa, Yan Duan, Pieter Abbeel

* International Conference on Learning Representations 2017 
* Published as a conference paper at ICLR 2017 

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