stewy33 / Learning-to-Optimize

Related projects: ⓘ

• Xi-L / PSL-MOBO
  ☆30Updated 10 months ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆133Updated 3 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• Evolutionary-Intelligence / EC-A-Modern-Perspective
  Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).
  ☆41Updated 2 months ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆44Updated 3 years ago
• xiangyuan-zhang / controlgym
  Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
  ☆23Updated 5 months ago
• GMC-DRL / MetaBox
  MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
  ☆53Updated 2 months ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆31Updated 5 years ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆32Updated last year
• qlan3 / QuantumExplorer
  A quantum reinforcement learning framework based on PyTorch and PennyLane.
  ☆24Updated 7 months ago
• softsys4ai / FlexiBO
  FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
  ☆13Updated last year
• hanxiongwei / L2O-Solver-Papers
  ☆11Updated 4 years ago
• lascavana / rl2branch
  ☆15Updated 2 years ago
• AnjieCheng / awesome-multi-objective-optimization
  A curated list of awesome multi-objective optimization research resources.
  ☆59Updated 6 years ago
• bigaidream-projects / citylearn-2020-pikapika
  CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team
  ☆25Updated 2 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• FedUni / MORL
  Multi-Objective Reinforcement Learning components built on top of RL glue components
  ☆27Updated last year
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆64Updated 7 months ago
• jerrylin1121 / cross_entropy_method
  Implementation of Cross Entropy Method
  ☆15Updated 5 years ago
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated last year
• Jianxun-Wang / PIMBRL
  Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
  ☆38Updated 2 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆34Updated last month
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆51Updated 2 years ago
• HoangATran / AdaDGS
  An adaptive black-box optimization method with directional Gaussian smoothing for high-dimensional multi-modal functions
  ☆9Updated 3 years ago
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆35Updated 5 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆30Updated last year
• xiaofangxd / Multitasking-Optimization
  Summary of Multitasking Optimization
  ☆62Updated 6 months ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆99Updated last year
• fiezt / Stackelberg-Code
  Code for "Convergence of Learning Dynamics in Stackelberg Games"
  ☆13Updated 4 years ago
• MasashiSode / MOBO
  constrained/unconstrained multi-objective bayesian optimization package.
  ☆41Updated last year