EDBT 2026 Demo / reviewers in the wild / expert
Dhruva TB
dblp:203/8068
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Reinforcement learning · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning › policy optimization › policy gradient
deterministic policy gradient |
0.3 | 1 | 2018 | Distributed Distributional Deterministic Policy Gradients · ICLR (Poster) 2018 |
Machine learning › Reinforcement learning › large-scale reinforcement learning
distributed reinforcement learning |
0.3 | 1 | 2018 | Distributed Distributional Deterministic Policy Gradients · ICLR (Poster) 2018 |
Methods — techniques the papers use, named apart from their topics
distributional value function · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-Maron, Matt Hoffman 0001, David Budden, Will Dabney, Daniel Horgan, Dhruva TB, Alistair Muldal, Nicolas Heess, Timothy P. Lillicrap |
ICLR (Poster) | 6 |