Alternatives and similar repositories for POPCORN-POMDP

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

• devzhk / LMCTS
  ☆12Updated 3 years ago
• miryoosefi / ConRL
  Constrained episodic reinforcement learning in concave-convex and knapsack settings
  ☆11Updated last year
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• CORE-Robotics-Lab / Interpretable_DDTS_AISTATS2020
  Public code for implementation and experiments with differentiable decision trees.
  ☆29Updated 9 months ago
• 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
• d-corsi / SafeRL
  A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.
  ☆12Updated 3 years ago
• cornell-orie / ORSuite
  ☆14Updated last year
• DanieleGammelli / multi-output-gp-censored-regression
  ☆9Updated 4 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• sy2737 / Elevator-MARL
  Asynchronous Elevator Control Simulator + Multi-Agent Reinforcement Learning training algorithms
  ☆15Updated 7 years ago
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆47Updated 4 years ago
• sihongho / Robust_MARL_with_State_Uncertainty
  Robust Multi-Agent Reinforcement Learning with State Uncertainty
  ☆13Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• stephmilani / multiagent-viper
  ☆10Updated 2 years ago
• lmzintgraf / gp_pref_elicit
  Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes
  ☆23Updated 7 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 4 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• stewy33 / Learning-to-Optimize
  An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.
  ☆23Updated 4 years ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆45Updated 4 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated 2 years ago
• causal-rl-anonymous / causal-rl
  ☆44Updated 3 years ago
• 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
• lmzintgraf / hyperx
  ☆16Updated 3 years ago
• 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
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆14Updated 3 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 2 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆12Updated 5 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆47Updated last year