Carlos Florensa

18 papers A* 6Misc 1Journal 10Unranked 1

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