Alternatives and similar repositories for CUSUM-RL

Users that are interested in CUSUM-RL are comparing it to the libraries listed below

• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago
• dtak / mbrl-smdp-ode
  PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020
  ☆46Updated 5 years ago
• Silvicek / cvar-algorithms
  Risk-Averse Distributional Reinforcement Learning: Code
  ☆28Updated 7 years ago
• Rose-STL-Lab / CopulaCPTS
  Code for Copula conformal prediction paper (ICLR 2024)
  ☆31Updated last year
• gkswamy98 / fast_irl
  Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.
  ☆53Updated 2 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆43Updated 6 years ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆40Updated last year
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆131Updated 2 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 6 years ago
• ido90 / CeSoR
  ☆18Updated 2 years ago
• samholt / NeuralLaplaceControl
  Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…
  ☆14Updated 2 years ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆58Updated 2 weeks ago
• guaguakai / decision-focused-RL
  ☆14Updated 4 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆85Updated 7 months ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆68Updated 3 years ago
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• yjlolo / pytorch-deep-markov-model
  PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]
  ☆23Updated 4 years ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆99Updated 4 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆33Updated 2 years ago
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆61Updated 4 months ago
• BorealisAI / continuous-time-flow-process
  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
  ☆47Updated 5 years ago
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆55Updated last year
• djrusso / Dynamic-Optimization-Course
  Website for a doctoral course on Dynamic Optimization
  ☆19Updated 2 years ago
• zhougroup / IDAC
  Implicit Distributional Actor Critic
  ☆11Updated 4 years ago
• stellatogrp / mro_experiments
  ☆30Updated 9 months ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆54Updated 2 years ago