econirl
  • Overview
  • Using your own data
  • Estimators
    • Comparing Estimators
    • NFXP
    • CCP
    • MPEC
    • UFXP
    • NNES
    • TD-CCP
    • MCE-IRL
    • Deep MCE-IRL
    • AIRL
    • AIRL-Het
    • f-IRL
    • GLADIUS
    • IQ-Learn
  • API Reference
    • econirl.DDCProblem
    • econirl.Panel
    • econirl.Trajectory
    • econirl.TrajectoryPanel
    • econirl.RewardSpec
    • econirl.SufficientStats
    • econirl.NFXP
    • econirl.CCP
    • econirl.TDCCP
    • econirl.UFXP
    • econirl.NNES
    • econirl.SEES
    • econirl.MaxEntIRL
    • econirl.MaxMarginIRL
    • econirl.MCEIRL
    • econirl.MCEIRLNeural
    • econirl.IQLearn
    • econirl.GLADIUS
    • econirl.AIRL
    • econirl.NeuralUFXP
    • econirl.RustBusEnvironment
    • econirl.environments.ArrayMDP
    • econirl.environments.random_mdp
    • econirl.simulation.simulate_panel
    • econirl.Utility
    • econirl.LinearCost
    • econirl.make_utility
    • econirl.TransitionEstimator
    • econirl.preprocessing.check_panel_structure
    • econirl.preprocessing.feature_diagnostics
    • econirl.datasets
  • Simulation Studies
    • Bus engine replacement
    • Gridworld navigation
    • Abstract MDP 1
    • Abstract MDP 2
    • Abstract MDP 3: High Dimensional Case
    • Abstract MDP 4
    • Direct optimization approaches
  • References
econirl
  • Overview: module code

All modules for which code is available

  • econirl.core.reward_spec
  • econirl.core.sufficient_stats
  • econirl.core.types
  • econirl.datasets.citibike_route
  • econirl.datasets.citibike_usage
  • econirl.datasets.equipment_replacement
  • econirl.datasets.eth_ucy
  • econirl.datasets.foursquare
  • econirl.datasets.geolife
  • econirl.datasets.icu_sepsis
  • econirl.datasets.keane_wolpin
  • econirl.datasets.lsw_synthetic
  • econirl.datasets.ngsim
  • econirl.datasets.occupational_choice
  • econirl.datasets.rdw_scrappage
  • econirl.datasets.robinson_crusoe
  • econirl.datasets.rust_big
  • econirl.datasets.rust_bus
  • econirl.datasets.scania
  • econirl.datasets.shanghai_route
  • econirl.datasets.shapeshifter
  • econirl.datasets.stanford_drone
  • econirl.datasets.supermarket
  • econirl.datasets.taxi_gridworld
  • econirl.datasets.tdrive
  • econirl.datasets.trivago_search
  • econirl.datasets.ziebart_big
  • econirl.environments.array_mdp
  • econirl.environments.base
  • econirl.environments.random_mdp
  • econirl.environments.rust_bus
  • econirl.estimation.iq_learn
  • econirl.estimators.ccp
  • econirl.estimators.max_margin_irl
  • econirl.estimators.maxent_irl
  • econirl.estimators.mce_irl
  • econirl.estimators.mceirl_neural
  • econirl.estimators.neural_airl
  • econirl.estimators.neural_gladius
  • econirl.estimators.nfxp
  • econirl.estimators.nnes
  • econirl.estimators.sees
  • econirl.estimators.tdccp
  • econirl.estimators.ufxp
  • econirl.estimators.ufxp_neural
  • econirl.preprocessing.diagnostics
  • econirl.preprocessing.validation
  • econirl.simulation.synthetic
  • econirl.transitions
  • econirl.utilities
  • functools

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