Alternatives and similar repositories for POPCORN-POMDP

Users that are interested in POPCORN-POMDP are comparing it to the libraries listed below

• miryoosefi / ConRL
  Constrained episodic reinforcement learning in concave-convex and knapsack settings
  ☆11Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated 2 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆44Updated 4 years ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated 2 years ago
• NPLawrence / stochastic_dynamics
  Almost Surely Stable Deep Dynamics [NeurIPS 2020]
  ☆13Updated 2 years ago
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆17Updated 2 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• dtak / hip-mdp-public
  Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
  ☆32Updated 7 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• SeyoungKimLab / DMGP
  Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …
  ☆12Updated 3 years ago
• lmzintgraf / gp_pref_elicit
  Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes
  ☆23Updated 6 years ago
• zzzace2000 / autodiagnosis
  Dynamic Measurement Scheduling for Event Forecasting using Deep RL (ICML 2019)
  ☆10Updated 5 years ago
• stephmilani / multiagent-viper
  ☆10Updated 2 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 3 years ago
• jihwan-jeong / xaddpy
  ☆13Updated last year
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆13Updated 2 years ago
• devzhk / LMCTS
  ☆12Updated 2 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆16Updated last year
• robintyh1 / neurips2021-meta-gradient-offpolicy-evaluation
  Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021
  ☆12Updated 3 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
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• MachineLearningBCAM / MRCpy
  A Library for Minimax Risk Classifiers
  ☆31Updated last year
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year