Alternatives and similar repositories for Stackelberg-GAN

Users that are interested in Stackelberg-GAN are comparing it to the libraries listed below

• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆26Updated 6 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• eyounx / PRR
  Meta-Reinforcement Learning with Policy Residual Representation
  ☆11Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• nik7273 / covid-pgmorl
  Multi-objective reinforcement learning for covid-19 control
  ☆11Updated 3 years ago
• dair-iitd / dl-with-constraints
  Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'
  ☆23Updated 5 years ago
• jupadhya1 / REINFORCEMENT-LEARNING
  Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…
  ☆11Updated 5 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• hoxmark / Deep_reinforcement_active_learning
  Deep Reinforcement Active learning - Master Thesis
  ☆19Updated 2 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆36Updated 5 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆12Updated 4 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆26Updated 3 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• anvinhnguyendinh / InferencePGMbyGNN
  A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
  ☆14Updated 5 years ago
• jindongwang / maml
  Python implementation MAML (model-agnostic meta learning)
  ☆30Updated 4 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• zhibinliao89 / fisher.info.mat.torch
  ☆12Updated 6 years ago
• pankajk / Deep-Graph-Kernels
  Deep Graph Kernels
  ☆13Updated 9 years ago
• hongzimao / gcn_pytorch
  ☆9Updated 6 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• neeharperi / PreferenceNet
  PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
  ☆16Updated 3 years ago
• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆42Updated 8 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated last year
• MehdiAbbanaBennani / reinforcement-learning-on-blackjack
  On-Policy Model-free Reinforcement Learning for simplified Blackjack (David Silver Assignement)
  ☆10Updated 7 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 6 years ago
• Zhenye-Na / gcn-spp
  Shortest Path prediction using Graph Convolutional Networks
  ☆26Updated 7 years ago