Model-based Reinforcement Learning Framework

A PyTorch-powered differentiable image reconstruction/optimization toolbox

CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning

A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.

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

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"

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

Skill-based Model-based Reinforcement Learning (CoRL 2022)

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

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.

Algorithmic Methods of Model-based Medical Image Segmentation Using Python

Signal Processing Toolbox for Calcium Imaging Data

Model-based tomographic reconstruction for different acquisition geometries

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

Simulation Framework for the Static Scheduler