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
  ☆112Updated 5 months ago
• causal-rl-anonymous / causal-rl
  ☆43Updated 2 years ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆50Updated last week
• guaguakai / decision-focused-RL
  ☆11Updated 3 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 …
  ☆35Updated last week
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆27Updated 6 years ago
• rtm2130 / SPOTree
  ☆33Updated 4 years 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
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆19Updated 3 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 7 months ago
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆38Updated 4 years ago
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆46Updated 9 months ago
• limengbinggz / CUSUM-RL
  Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"
  ☆9Updated 2 weeks ago
• Silvicek / cvar-algorithms
  Risk-Averse Distributional Reinforcement Learning: Code
  ☆26Updated 6 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆41Updated 6 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆35Updated 5 years ago
• CausalML / DeepGMM
  ☆34Updated 5 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated last year
• wjmaddox / online_vargp
  Online variational GPs
  ☆31Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆73Updated 7 months ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• CausalML / DoubleReinforcementLearningMDP
  ☆12Updated 5 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆35Updated last year
• acoache / RL-DynamicConvexRisk
  Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures
  ☆20Updated last year
• Nikunj-Gupta / conformal-agent-modelling
  CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
  ☆14Updated 9 months ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆11Updated 4 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆34Updated last year
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆102Updated 2 years ago