A PyTorch-powered differentiable image reconstruction/optimization toolbox
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Updated
Sep 29, 2024 - Python
A PyTorch-powered differentiable image reconstruction/optimization toolbox
Model-based Reinforcement Learning Framework
A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
Skill-based Model-based Reinforcement Learning (CoRL 2022)
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Model-based Policy Gradients
Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.
Algorithmic Methods of Model-based Medical Image Segmentation Using Python
Model-based tomographic reconstruction for different acquisition geometries
Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
code for paper 'Comparison of Model Free and Model-Based Learning-Informed Planning for PointGoal Navigation'
The goal of this repository is to provide a gym-compatible library to easily perform model-based Reinforcement Learning experiments using PyTorch. The library makes it easier to create learnable environments and ensembles of networks that can be used to learn the dynamics of an environment.
A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.
Probabilistic modeling using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.
Project for the course "Foundations of Reinforcement Learning" 2021 at ETH Zurich
Simulating a futuristic package delivery service using drones.
A Model-based Agent, for chinese speech recognize.
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