Alternatives and similar repositories for surrogate-optimization-learning:

Users that are interested in surrogate-optimization-learning are comparing it to the libraries listed below

• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆19Updated last year
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• PredOptwithSoftConstraint / PredOptwithSoftConstraint
  Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"
  ☆13Updated 3 years ago
• Iyengar-Lab / E2E-DRO
  End-to-end distributionally robust optimization
  ☆34Updated 2 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 5 years ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆16Updated 2 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• acoache / RL-DynamicConvexRisk
  Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures
  ☆21Updated last year
• tetrzim / robust-probabilistic-forecasting
  ☆35Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated 9 months ago
• kantneel / causal-metarl
  WIP implementation of https://arxiv.org/pdf/1901.08162.pdf
  ☆9Updated 5 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆75Updated 8 months ago
• neeharperi / PreferenceNet
  PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
  ☆15Updated 3 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆10Updated 2 years ago
• zhougroup / IDAC
  Implicit Distributional Actor Critic
  ☆11Updated 3 years ago
• tianjunz / MADE
  ☆19Updated 3 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• mechanism-learning-research / two-player-auctions
  JAX/Haiku implementation of "Auction Learning as a Two-Player Game"
  ☆10Updated 9 months ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆34Updated 4 years ago
• DiffEqML / tutorials
  ☆10Updated 3 years ago
• laurimi / multiagent-prediction-reward
  Multi-agent active perception with prediction rewards
  ☆12Updated 4 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• meowoodie / Neural-Spectral-Marked-Point-Processes
  A novel general non-stationary point process model based on neural networks.
  ☆10Updated 2 years ago