Reverse Curriculum Generation for Reinforcement Learning. - Carlos Florensa; David Held; Markus Wulfmeier; Michael Zhang; Pieter Abbeel (CoRL, 2017)

Stochastic Neural Networks for Hierarchical Reinforcement Learning. - Carlos Florensa; Yan Duan; Pieter Abbeel (ICLR (Poster), 2017)

Reverse Curriculum Generation for Reinforcement Learning. - Carlos Florensa; David Held; Markus Wulfmeier; Pieter Abbeel (CoRR, 2017)

Capacity planning with competitive decision-makers: Trilevel MILP formulation, degeneracy, and solution approaches. - Carlos Florensa; Pablo García-Herreros; Pratik Misra; Erdem Arslan; Sanjay Mehta; Ignacio E. Grossmann (Eur. J. Oper. Res., 2017)

Automatic Goal Generation for Reinforcement Learning Agents. - Carlos Florensa; David Held; Xinyang Geng; Pieter Abbeel (ICML, 2018)

Adaptive Variance for Changing Sparse-Reward Environments. - Xingyu Lin; Pengsheng Guo; Carlos Florensa; David Held (ICRA, 2019)

Goal-conditioned Imitation Learning. - Yiming Ding; Carlos Florensa; Pieter Abbeel; Mariano Phielipp (NeurIPS, 2019)

Self-supervised Learning of Image Embedding for Continuous Control. - Carlos Florensa; Jonas Degrave; Nicolas Heess; Jost Tobias Springenberg; Martin A. Riedmiller (CoRR, 2019)

Sub-policy Adaptation for Hierarchical Reinforcement Learning. - Alexander C. Li; Carlos Florensa; Ignasi Clavera; Pieter Abbeel (ICLR, 2020)

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. - Michelle A. Lee; Carlos Florensa; Jonathan Tremblay; Nathan D. Ratliff; Animesh Garg; Fabio Ramos 001; Dieter Fox (ICRA, 2020)

Which Mutual-Information Representation Learning Objectives are Sufficient for Control? - Kate Rakelly; Abhishek Gupta 004; Carlos Florensa; Sergey Levine (NeurIPS, 2021)