two-player-auctions

Auction learner

An implementation of an auction learning algorithm inspired by GANs to learn optimal multi-bidder auctions

JAX/Haiku implementation of "Auction Learning as a Two-Player Game"

GitHub

0 stars
0 watching
0 forks
last commit: about 1 year ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
jay15summer/two-stage-tradaboost.r2 An implementation of a boosting-based transfer learning algorithm for regression tasks. 44
yingtongdou/graph-adversarial-learning-literature An exploration of adversarial learning techniques applied to graph data structures 8
cusma/algorand-school A comprehensive resource for learning Algorand's blockchain technology and ecosystem 79
fulldecent/19-questions A machine learning-based game that uses player interactions to infer object attributes and properties 16
zfancy/sfat Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation 28
google-deepmind/meltingpot Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations 637
atomflunder/skillratings A collection of algorithms for calculating player skill levels 48
enjalot/algovis A collection of projects and links showcasing algorithm visualization techniques for understanding complex algorithms and data structures 1,668
ignavierng/notears-admm An implementation of Bayesian network structure learning with continuous optimization for federated learning. 10
stormraiser/gan-weight-norm Improves the performance of Generative Adversarial Networks by normalizing weights and batch data 181
qdata/adversarialdnn-playground An online tool allowing users to visualize and generate adversarial examples to deceive neural networks 130
litian96/fair_flearn This project develops and evaluates algorithms for fair resource allocation in federated learning, aiming to promote more inclusive AI systems. 244
gdisag/gradient_disaggregation An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums 14
pku-yuangroup/moe-llava A large vision-language model using a mixture-of-experts architecture to improve performance on multi-modal learning tasks 2,023
shenyichen105/deep-reinforcement-learning-in-stock-trading An implementation of a deep reinforcement learning algorithm to learn optimal strategies in pair trading by analyzing stock market data. 310