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researcher

Daniele Reda

11 papers hereh-index 91.3k citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author8

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV4
  • cs.RO1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedLearning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning

42 citations · 58 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.LG2020★ 42 cited

Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning

Daniele Reda, Tianxin Tao, Michiel van de Panne

Learning to locomote is one of the most common tasks in physics-based animation and deep reinforcement learning (RL). A learned policy is the product of the problem to be solved, a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.