Alternatives and similar repositories for Stackelberg-GAN

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

• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆28Updated 6 years ago
• hoxmark / Deep_reinforcement_active_learning
  Deep Reinforcement Active learning - Master Thesis
  ☆19Updated 2 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 years ago
• dair-iitd / dl-with-constraints
  Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'
  ☆23Updated 5 years ago
• pankajk / Deep-Graph-Kernels
  Deep Graph Kernels
  ☆13Updated 9 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆11Updated 4 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 6 years ago
• nik7273 / covid-pgmorl
  Multi-objective reinforcement learning for covid-19 control
  ☆11Updated 3 years ago
• eyounx / PRR
  Meta-Reinforcement Learning with Policy Residual Representation
  ☆11Updated 5 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• hongzimao / gcn_pytorch
  ☆9Updated 6 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated last year
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• TonyZZX / MultiGraph_MultiLabel_Learning
  Multi-Graph Multi-Label Learning
  ☆11Updated 7 years ago
• anvinhnguyendinh / InferencePGMbyGNN
  A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
  ☆14Updated 6 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 2 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆24Updated 2 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 6 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• vyokky / ZipNet-GAN-traffic-inference
  ☆17Updated 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
• 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
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 3 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago