Josh Tobin
E515887
Josh Tobin is a machine learning researcher known for his work on deep reinforcement learning, including co-developing the Hindsight Experience Replay technique.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Josh Tobin canonical | 1 |
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 NERFINISHED ⓘ |
| fieldOfWork |
deep learning
ⓘ
deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ |
| hasAuthor | Josh Tobin NERFINISHED ⓘ |
| hasGivenTalkOn | deep reinforcement learning for robotics ⓘ |
| knownFor | Hindsight Experience Replay NERFINISHED ⓘ |
| notableWork | Hindsight Experience Replay NERFINISHED ⓘ |
| 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 ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.