PY
Code accompanying the paper "Diverse projection ensembles for distributional reinforcement learning"

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 15 augustus 2025
Wat erin zit
This is the official code repository of projection-ensemble DQN, accompanying the paper "Diverse projection ensembles for distributional reinforcement learning" (ICLR 2024).
Bestanden en diensten
- DataCite REST API (JSON)api.datacite.orgOpenen
Vergelijkbare datasets
Code accompanying the paper on aircraft path planning in continuous environments with deep reinforcement learning4TU.ResearchDataCode accompanying the paper "Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model" - VizDoom4TU.ResearchDataCode accompanying the paper "Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model"4TU.ResearchDataCode accompanying the paper "Universal Value-Function Uncertainties"4TU.ResearchDataSimulation files and code accompanying the paper "Load-based pressure profile matching for highly deformable fluid film bearings"4TU.ResearchDataCode accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human approach”4TU.ResearchDataCode for the paper "Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibility"4TU.ResearchDataCode for paper "Evaluation of Graph Neural Networks for Urban Drainage Metamodeling: Key Components and Transferability Analysis"4TU.ResearchData
Meer van 4TU.ResearchData6.749 datasets
Research Data and Code Supporting the PhD Dissertation: Learning Interpretable Robot Dynamics for Control — From Physical Structure to Latent CoordinatesCode for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"Data and scripts underlying the dissertation: Sodium Borohydride as Granular fuel: Experimental Characterisation and DEM ModellingData supporting the publication: Vision-Informed Short-Horizon Prediction for the Squeeze Flow of Soft MaterialsData for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"Data underlying Chapter 3 of the PhD thesis: Organic acids and bipolar membrane electrodialysis for enhanced ammonia recovery from scrubber effluents.