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)

This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation

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

[TIFS 2019] Skeleton-based Gait Recognition via Robust Frame-level Matching (RFM)

Expert Advisor based on Falcon Template and kNN trading algorithm

Fair Android Explorer

TRADES Tool

Development and simulation framework for Application Specific Vector Processor

Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.

Signal Processing Toolbox for Calcium Imaging Data

Model-based tomographic reconstruction for different acquisition geometries

Simulation Framework for the Static Scheduler

Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts