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researcher

Kacper Kielak

2 papers hereh-index 258 citations3 works total

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

author position
  • sole author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedImportance of using appropriate baselines for evaluation of data-efficiency in deep reinforcement learning for Atari

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 1 cited

Importance of using appropriate baselines for evaluation of data-efficiency in deep reinforcement learning for Atari

Kacper Kielak

Reinforcement learning (RL) has seen great advancements in the past few years. Nevertheless, the consensus among the RL community is that currently used methods, despite all their…

cs.LG2019

Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning

Kacper Kielak

Reinforcement learning has seen great advancements in the past five years. The successful introduction of deep learning in place of more traditional methods allowed reinforcement l…

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