Alternatives and similar repositories for Dynamic-Optimization-Course

Users that are interested in Dynamic-Optimization-Course are comparing it to the libraries listed below

• martyput / MDP_book
  ☆119Updated last month
• CausalML / DeepGMM
  ☆35Updated 5 years ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 4 years ago
• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆53Updated last week
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆42Updated 4 years ago
• limengbinggz / CUSUM-RL
  Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"
  ☆9Updated 3 months ago
• ZehaoDou-official / Solutions-for-Math-Textbooks
  In this repository, I place my solution for the exercises in multiple famous math textbooks, including Stochastic Differential Equation, …
  ☆13Updated last year
• Silvicek / cvar-algorithms
  Risk-Averse Distributional Reinforcement Learning: Code
  ☆28Updated 6 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆38Updated 2 years ago
• kanguyn / Machine-Learning-Under-Optimization-Lens-Fall2018
  Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver
  ☆41Updated 6 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆36Updated last year
• AndyZhang92 / DRO-Portfolio-Opt
  ☆15Updated 4 years ago
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆104Updated 2 years ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• msabvid / robust_nsde
  Robust pricing and hedging via Neural SDEs
  ☆36Updated 3 years ago
• acoache / RL-DynamicConvexRisk
  Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures
  ☆23Updated last year
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆35Updated 2 years ago
• heidekrueger / bnelearn
  A Framework for Equilibrium Learning in Sealed-Bid Auctions
  ☆24Updated 2 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• guaguakai / surrogate-optimization-learning
  ☆17Updated 4 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆11Updated 5 years ago
• Networks-Learning / counterfactual-explanations-mdp
  Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
  ☆16Updated 2 years ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆46Updated 3 months ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆77Updated 10 months ago