Carlos Florensa
5 papers · 2017–2021 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (13) π Conference Polyglot Β· Bronze π Trend Setter
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Unstoppable Β· Bronze
β
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(4)
Reinforcement Learning
(4)
Learning Types Β· Machine Learning
(4)
Methods
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Learning Paradigms Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Robotics
(1)
Applications
(1)
Capabilities
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Keywords
reinforcement learning
(4)
sparse reward
(2)
curriculum learning
(2)
transfer learning
(1)
policy gradient
(1)
adversarial training
(1)
hierarchical reinforcement learning
(1)
markov decision process
(1)
mutual information
(1)
state representation
(1)
skill discovery
(1)
optimal policy
(1)
mutual information maximization
(1)
temporal abstraction
(1)
robot manipulation
(1)
goal-conditioned policy
(1)
hindsight experience replay
(1)
goal-conditioned learning
(1)
goal generation
(1)
generator network
(1)
Papers
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
NeurIPS 2021
Sub-policy Adaptation for Hierarchical Reinforcement Learning
ICLR 2020
Goal-conditioned Imitation Learning
NeurIPS 2019
Automatic Goal Generation for Reinforcement Learning Agents
ICML 2018
Reverse Curriculum Generation for Reinforcement Learning
CoRL 2017