wuga214 / PAPER_IJCAI17_HybridPlanning_NeuralNetwork_MILPLinks
The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on IJCAI-2017
☆10Updated 7 years ago
Alternatives and similar repositories for PAPER_IJCAI17_HybridPlanning_NeuralNetwork_MILP
Users that are interested in PAPER_IJCAI17_HybridPlanning_NeuralNetwork_MILP are comparing it to the libraries listed below
Sorting:
- Hybrid Deep MILP Planner☆14Updated 3 years ago
- Tensorflow is not only an well designed deep learning toolbox, but also a standard symbolic programming framework. In this repository, we…☆12Updated 7 years ago
- Implementing Algorithms for Computing Stackelberg Equilibria in Security Games☆42Updated 8 years ago
- ☆17Updated 7 years ago
- ☆41Updated 3 months ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆29Updated 7 years ago
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 6 years ago
- Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz☆27Updated 4 years ago
- ☆29Updated last year
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 6 years ago
- Combining Reinforcement Learning with Integer Programming for Robust Scheduling☆28Updated last year
- ☆30Updated 8 months ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 years ago
- ☆10Updated 4 years ago
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆135Updated 2 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 6 years ago
- Power Network Optimization and Simulation.☆52Updated 2 years ago
- The Machine Learning Optimizer☆106Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- ☆35Updated 5 years ago
- IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks☆32Updated last month
- Code accompanying the papers "Online learning for robust voltage control under uncertain grid topology" (IEEE Transaction on Smart Grid, …☆24Updated last year
- ☆39Updated 4 years ago
- simulation tool for Model Predictive Control (MPC) and Distributed MPC, in Python☆26Updated 9 years ago
- A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution ne…☆166Updated last year
- ☆11Updated 6 years ago
- Reinforcement Learning Environments for Sustainable Energy Systems☆56Updated 2 months ago
- Benchmarking script for MindtPy solvers in the pyomo framework solving MINLP instance. This was created as part of my bachelor thesis dur…☆11Updated 5 years ago