Josh Tobin

E515887
machine learning researcher person reinforcement learning technique

Josh Tobin is a machine learning researcher known for his work on deep reinforcement learning, including co-developing the Hindsight Experience Replay technique.

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Label Occurrences
Josh Tobin canonical 4

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Statements (22)

Predicate Object
instanceOf machine learning researcher ⓘ
person ⓘ
reinforcement learning technique ⓘ
aimsTo improve sample efficiency in reinforcement learning ⓘ
appliesTo goal-conditioned reinforcement learning ⓘ
basedOn relabeling failed trajectories with alternative goals ⓘ
coDeveloperOf Hindsight Experience Replay ⓘ
fieldOfWork deep learning ⓘ
deep reinforcement learning ⓘ
machine learning ⓘ
reinforcement learning ⓘ
hasAuthor Josh Tobin ⓘ
hasGivenTalkOn deep reinforcement learning for robotics ⓘ
knownFor Hindsight Experience Replay ⓘ
notableWork Hindsight Experience Replay ⓘ
proposedIn 2017 ⓘ
usedFor goal-based RL tasks ⓘ
robotic manipulation tasks ⓘ
sparse reward environments ⓘ
workFocus generalization in reinforcement learning ⓘ
robotics and control with deep RL ⓘ
sample-efficient reinforcement learning ⓘ

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Referenced by (4)

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

Hindsight Experience Replay → proposedBy → Josh Tobin ⓘ
Hindsight Experience Replay → introducedBy → Josh Tobin ⓘ
subject linked to: HER
Hindsight Policy Gradients → introducedBy → Josh Tobin ⓘ
Hindsight Experience Replay → hasAuthor → Josh Tobin ⓘ
subject linked to: Josh Tobin