Improving DNN-based 2048 Players with Global Embedding
Author:
Affiliation:
1. Kochi University of Technology,Graduate School of Engineering,Kami,Japan
2. Kochi University of Technology,School of Information,Kami,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9893561/9893544/09893654.pdf?arnumber=9893654
Reference8 articles.
1. Deepstack: Expert-level artificial intelligence in heads-up no-limit poker;moravc´?k;Science,2017
2. Grandmaster level in starcraft ii using multi-agent reinforcement learning;vinyals;Nature,2019
3. Optimistic temporal difference learning for 2048;guei;IEEE Transactions on Games,2021
4. Planning in stochastic environments with a learned model;antonoglou;International Conference on Learning Representations,2021
5. Developing Value Networks for Game 2048 with Reinforcement Learning
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