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researcher

K. Alcedo

3 papers hereh-index 3149 citations8 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.GT1

identity via Semantic Scholar / OpenAlex

most citedSoft Actor-Critic with Inhibitory Networks for Faster Retraining

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.GT2022

Principal Trade-off Analysis

Alexander Strang, David SeWell, Alexander Kim +2

How are the advantage relations between a set of agents playing a game organized and how do they reflect the structure of the game? In this paper, we illustrate "Principal Trade-of…

cs.LG2022★ 3 cited

Soft Actor-Critic with Inhibitory Networks for Faster Retraining

Jaime S. Ide, Daria Mićović, Michael J. Guarino +3

Reusing previously trained models is critical in deep reinforcement learning to speed up training of new agents. However, it is unclear how to acquire new skills when objectives an…

cs.LG2021★ 2 cited

Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials

Adrian P. Pope, Jaime S. Ide, Daria Micovic +7

Autonomous control in high-dimensional, continuous state spaces is a persistent and important challenge in the fields of robotics and artificial intelligence. Because of high risk…

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