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researcher

J. Ackermann

2 papers here

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

author position
  • first author2

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

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedReducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

71 citations · 81 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 10 cited

High-Resolution Image Editing via Multi-Stage Blended Diffusion

Johannes Ackermann, Minjun Li

Diffusion models have shown great results in image generation and in image editing. However, current approaches are limited to low resolutions due to the computational cost of trai…

cs.LG2019★ 71 cited

Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Johannes Ackermann, Volker Gabler, Takayuki Osa +1

Many real world tasks require multiple agents to work together. Multi-agent reinforcement learning (RL) methods have been proposed in recent years to solve these tasks, but current…

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