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Train and test various RL/MARL algorithms on dominoes.

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marl_dominoes

using open_spiel to train and test various MARL algorithms on dominoes


Resources

In this section, relevant papers, resources, and other links are listed. The list is not exhaustive, and is meant to be a starting point for further research.

~: To revisit

N: Not read

Y: Read

Papers Category Reference Status
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation TMCor Farina et al. '21 ~
Multi-Agent Coordination in Adversarial Environments MARL Cacciamani et al. '21 Y
Steering No-Regret Learners to Optimal Equilibria Equilibria* Zhang et al. '23 ~
Hindsight and Sequential Rationality of Correlated Play Sequential Equilibria Morrill. et al '20 N
Learning to Correlate in Multi-Player General-Sum Sequential Games Sequential Equilibria Celli et al. '19 ~
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium Sequential Equilibria Celli et al. '20 Y
Coarse Correlation in Extensive-Form Games Sequential Equlibria Farina et al. '20 ~
Efficient Deviation Types and Learning for Hindsight Rationality EFR Morrill et al. '22 N
Counterfactual Regret Minimization (CFR) Tabular Zinkevich et al '08, Neller & Lanctot '13 N
Deep CFR MARL Brown et al. '18 N
Mastering Stratego Applications (MARL) Perolat et al. '22 N
Cicero: LLMs with strategic reasoning Applications FAIR '22 ~
A Generalist Agent (Gato) Applications Reed et al. '22 Y
Superhuman AI for multiplayer poker Applications (CFR) Brown and Sandholm '19 Y
α-Rank Eval. / Viz. Omidhsafiei et al. '19, arXiv N
Nash Averaging Eval. / Viz. Balduzzi et al. '18 N
Paper title theme authors ~

Other Resources

  • CMU 'Computational Game Solving' Course, Fall '23: link
  • CMU 'Computational Game Solving' Course, Fall '21: link
  • MIT MARL 2024: link
  • OpenSpiel
  • DeepMind applying for MARL patents now?? link

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Train and test various RL/MARL algorithms on dominoes.

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