April 29, 2022, 1:11 a.m. | Johannes Scheiermann, Wolfgang Konen

cs.LG updates on arXiv.org arxiv.org

Recently, the seminal algorithms AlphaGo and AlphaZero have started a new era
in game learning and deep reinforcement learning. While the achievements of
AlphaGo and AlphaZero - playing Go and other complex games at super human level
- are truly impressive, these architectures have the drawback that they are
very complex and require high computational resources. Many researchers are
looking for methods that are similar to AlphaZero, but have lower computational
demands and are thus more easily reproducible. In this …

alphazero arxiv game general learning playing

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Werkstudent Data Architecture & Governance (w/m/d)

@ E.ON | Essen, DE

Data Architect, Data Lake, Professional Services

@ Amazon.com | Bogota, DC, COL

Data Architect, Data Lake, Professional Services

@ Amazon.com | Buenos Aires City, Buenos Aires Autonomous City, ARG

Data Architect

@ Bitful | United States - Remote