Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Person
|
| gptkbp:academic_advisor |
gptkb:Pieter_Abbeel
|
| gptkbp:affiliation |
gptkb:University_of_California,_Berkeley
|
| gptkbp:birth_place |
gptkb:United_States
|
| gptkbp:contribution |
gptkb:Deep_Reinforcement_Learning
|
| gptkbp:education |
gptkb:Stanford_University
Ph. D. in Computer Science |
| gptkbp:field |
gptkb:Artificial_Intelligence
gptkb:machine_learning |
| https://www.w3.org/2000/01/rdf-schema#label |
Sergey Levine
|
| gptkbp:known_for |
gptkb:machine_learning
gptkb:robotics |
| gptkbp:nationality |
gptkb:American
|
| gptkbp:publication |
Learning from Demonstration
Learning to Control in the Presence of Uncertainty Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning End-to-End Training of Deep Visuomotor Policies Learning to Control Robotic Manipulators with Reinforcement Learning Deep Learning for Control in Robotics Deep Learning for Robotic Control Tasks Deep Learning for Robotic Grasping Deep Learning for Robotic Manipulation Deep Learning for Robotic Manipulation Tasks Deep Reinforcement Learning for Robotic Control Deep Reinforcement Learning for Robotic Systems Learning from Demonstration for Robotic Manipulation Learning to Control with Deep Learning Learning to Control with Reinforcement Learning Learning to Grasp with Deep Learning Learning to Grasp with Deep Learning Techniques Learning to Grasp with Deep Reinforcement Learning Learning to Grasp with Reinforcement Learning Learning to Manipulate Objects with Deep Learning Learning to Manipulate with Reinforcement Learning Learning to Act with Uncertainty in Reinforcement Learning Reinforcement Learning for Robotic Control Tasks Reinforcement Learning for Robotic Systems Robust Control with Deep Learning Robust Control with Reinforcement Learning Robust Reinforcement Learning for Robotic Systems Robust Reinforcement Learning with Uncertainty Robustness in Reinforcement Learning Deep Reinforcement Learning for Robotic Manipulation Learning to Manipulate with Deep Reinforcement Learning Learning to Control with Reinforcement Learning Techniques Model-Based Reinforcement Learning with Latent State Data-Efficient Reinforcement Learning for Robotic Manipulation Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Robust Reinforcement Learning for Robotic Manipulation Deep Reinforcement Learning for Robotic Manipulation Tasks Reinforcement Learning for Robotic Manipulation Tasks Learning to Grasp with Reinforcement Learning Techniques Learning to Manipulate with Deep Learning Techniques Hierarchical Reinforcement Learning with Hindsight Experience Replay Learning to Control Robotic Systems with Reinforcement Learning End-to-End Learning of Control Policies for Robotic Manipulation Learning to Control with Uncertainty in Reinforcement Learning |
| gptkbp:research_focus |
Robotic Manipulation
Learning from Demonstration |
| gptkbp:work |
gptkb:Google_Brain
gptkb:Facebook_AI_Research gptkb:Open_AI gptkb:NVIDIA |
| gptkbp:bfsParent |
gptkb:Aaron_Courville
|
| gptkbp:bfsLayer |
4
|