Hado van Hasselt

E441099

artificial intelligence researcher computer scientist person reinforcement learning researcher

Hado van Hasselt is a researcher in reinforcement learning best known for pioneering methods such as Double Q-learning and Dueling DQN that address overestimation bias and improve deep RL performance.

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All labels observed (1)

Label	Occurrences
Hado van Hasselt canonical	3

Statements (46)

Predicate	Object
instanceOf	artificial intelligence researcher ⓘ computer scientist ⓘ person ⓘ reinforcement learning researcher ⓘ
citizenship	Netherlands NERFINISHED ⓘ
coDeveloped	Dueling DQN architecture NERFINISHED ⓘ
developed	Double DQN algorithm NERFINISHED ⓘ Double Q-learning algorithm NERFINISHED ⓘ
educatedAt	Utrecht University NERFINISHED ⓘ
employer	Google DeepMind NERFINISHED ⓘ
fieldOfWork	artificial intelligence ⓘ machine learning ⓘ reinforcement learning ⓘ
hasAcademicDegree	PhD in computer science ⓘ
hasPublicationType	conference papers ⓘ journal articles ⓘ
hasRole	senior research scientist at DeepMind ⓘ
influencedBy	Q-learning NERFINISHED ⓘ temporal-difference learning methods ⓘ
knownFor	Double DQN NERFINISHED ⓘ Double Q-learning NERFINISHED ⓘ Dueling DQN NERFINISHED ⓘ deep reinforcement learning algorithms ⓘ reducing overestimation bias in Q-learning ⓘ
languageSpoken	Dutch ⓘ English ⓘ
memberOf	DeepMind NERFINISHED ⓘ
nationality	Dutch ⓘ
notableWork	Deep Reinforcement Learning with Double Q-learning NERFINISHED ⓘ Double Q-learning: Mitigating the overestimation bias in Q-learning NERFINISHED ⓘ Dueling Network Architectures for Deep Reinforcement Learning NERFINISHED ⓘ
occupation	research scientist ⓘ researcher ⓘ
publishedIn	AAAI NERFINISHED ⓘ ICML NERFINISHED ⓘ JMLR NERFINISHED ⓘ NeurIPS NERFINISHED ⓘ
researchInterest	deep reinforcement learning ⓘ exploration in reinforcement learning ⓘ off-policy learning ⓘ temporal-difference learning ⓘ value-based reinforcement learning ⓘ
thesisTopic	reinforcement learning ⓘ
worksOn	applications of RL to games ⓘ scalable deep RL algorithms ⓘ stability and bias in value estimation ⓘ

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Dueling DQN → introducedBy → Hado van Hasselt ⓘ

Double DQN → introducedBy → Hado van Hasselt ⓘ

Rainbow DQN → proposedBy → Hado van Hasselt ⓘ