Efficient Bayesian Ultra-Q Learning for Multi-Agent Games

Original language	English
Publication status	Unpublished - 29 May 2023
Event	2023 Adaptive and Learning Agents Workshop at AAMAS - London, United Kingdom Duration: 29 May 2023 → 30 May 2023 https://alaworkshop2023.github.io

Workshop

Workshop	2023 Adaptive and Learning Agents Workshop at AAMAS
Abbreviated title	ALA 2023
Country/Territory	United Kingdom
City	London
Period	29/05/23 → 30/05/23
Internet address	https://alaworkshop2023.github.io

Keywords

• Q-learning
• Multi-agent Reinforcement Learning
• Bayesian Inference

Access to Document

• posterLicence: CC BY

Handle.net

• Persistent link

Research output

• 1 Conference paper

• Efficient Bayesian Ultra-Q Learning for Multi-Agent Games

  Gauderis, W., Denoodt, F., Silue, B., Vanvolsem, P. & Rosseau, A., May 2023, In: Proc. of the Adaptive and Learning Agents Workshop (ALA 2023). https://alaworkshop2023.github.io/, 1, p. 1-7 7 p., 57.

  Research output: Contribution to journal › Conference paper

  Open Access

  File

  • multi agent 100%
  • Bayesian 100%
  • Learning Agent 33%
  • Learning Algorithm 33%
  • Normal Form Game 33%

Activities

• 1 Participation in workshop, seminar

• 2023 Adaptive and Learning Agents Workshop at AAMAS

  Gauderis, W. (Participant)

  29 May 2023 → 30 May 2023

  Activity: Participating in or organising an event › Participation in workshop, seminar

Cite this

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• Vancouver

Gauderis, W., Denoodt, F., Silue, B., Vanvolsem, P., & Rosseau, A. (2023). Efficient Bayesian Ultra-Q Learning for Multi-Agent Games. Poster session presented at 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom.

Gauderis, Ward ; Denoodt, Fabian ; Silue, Bram et al. / Efficient Bayesian Ultra-Q Learning for Multi-Agent Games. Poster session presented at 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom.

@conference{462160b017e94c6c99801080d2c6cb8f,

title = "Efficient Bayesian Ultra-Q Learning for Multi-Agent Games",

keywords = "Q-learning, Multi-agent Reinforcement Learning, Bayesian Inference",

author = "Ward Gauderis and Fabian Denoodt and Bram Silue and Pierre Vanvolsem and Andries Rosseau",

year = "2023",

month = may,

day = "29",

language = "English",

note = "2023 Adaptive and Learning Agents Workshop at AAMAS, ALA 2023 ; Conference date: 29-05-2023 Through 30-05-2023",

url = "https://alaworkshop2023.github.io",

}

Gauderis, W, Denoodt, F, Silue, B, Vanvolsem, P & Rosseau, A 2023, 'Efficient Bayesian Ultra-Q Learning for Multi-Agent Games', 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom, 29/05/23 - 30/05/23.

Efficient Bayesian Ultra-Q Learning for Multi-Agent Games. / Gauderis, Ward; Denoodt, Fabian; Silue, Bram et al.
2023. Poster session presented at 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom.

Research output: Unpublished contribution to conference › Poster

TY - CONF

T1 - Efficient Bayesian Ultra-Q Learning for Multi-Agent Games

AU - Gauderis, Ward

AU - Denoodt, Fabian

AU - Silue, Bram

AU - Vanvolsem, Pierre

AU - Rosseau, Andries

PY - 2023/5/29

Y1 - 2023/5/29

KW - Q-learning

KW - Multi-agent Reinforcement Learning

KW - Bayesian Inference

M3 - Poster

T2 - 2023 Adaptive and Learning Agents Workshop at AAMAS

Y2 - 29 May 2023 through 30 May 2023

ER -

Gauderis W, Denoodt F, Silue B, Vanvolsem P, Rosseau A. Efficient Bayesian Ultra-Q Learning for Multi-Agent Games. 2023. Poster session presented at 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom.