Bilal Piot

E736833

Bilal Piot is a machine learning researcher known for his contributions to deep reinforcement learning, including co-authoring the Rainbow DQN algorithm.

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Bilal Piot canonical 1

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Predicate Object
instanceOf deep reinforcement learning algorithm
machine learning researcher
person
scientific paper
basedOn Deep Q-Networks NERFINISHED
coAuthorOf Rainbow: Combining Improvements in Deep Reinforcement Learning NERFINISHED
combines distributional reinforcement learning
double Q-learning
dueling network architectures
multi-step learning
noisy networks for exploration
prioritized experience replay
contributedTo Rainbow DQN algorithm NERFINISHED
fieldOfWork artificial intelligence
deep reinforcement learning
machine learning
reinforcement learning
hasAcademicBackgroundIn computer science
hasAuthor Bilal Piot NERFINISHED
hasCoAuthor Dan Horgan NERFINISHED
David Silver NERFINISHED
Georg Ostrovski NERFINISHED
Hado van Hasselt NERFINISHED
Joseph Modayil NERFINISHED
Matteo Hessel NERFINISHED
Tom Schaul NERFINISHED
Will Dabney NERFINISHED
other Rainbow DQN collaborators
hasResearchInterest deep Q-learning
exploration in reinforcement learning
off-policy reinforcement learning
value-based reinforcement learning
knownFor Rainbow DQN NERFINISHED
deep reinforcement learning research
nationality French
publishedIn ICLR NERFINISHED
ICML NERFINISHED
NeurIPS NERFINISHED
major machine learning conferences
worksOn deep learning for control
scalable reinforcement learning algorithms

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Rainbow DQN proposedBy Bilal Piot