Cognitive modeling in ISA RAS

Cognitive modeling in ISA RAS's repositories

forger

ForgER algorithm

Language:PythonMIT21 6 3

deep-path

Language:Python11 6 6

NPField

Neural Potential Field for Obstacle-Aware Local Motion Planning

Language:C++9 20

htm-rl

HTM applied to RL

Language:PythonMIT7 4 5

aqjsm

AQJSM machine learnign algorithm

Language:JavaScript3 40

map-core

Language:Python3 30

map-planner

Language:Common Lisp3 40

schema-rl

Language:Python3 20

HRL-grid

Language:PythonApache-2.02 40

causal-app

Causal extraction application

Language:Java1 30

htm-core

Language:JavaScript1 5 1

rozumarm-vima

Language:Python1 20

strl

1 40

rl_navigation

Language:Jupyter Notebook040

cog-isa.github.io

Language:HTML020

crar-tower

Language:PythonNOASSERTION030

deep-blocks

Deep reinforcement learning for task planning in the case of block world

Language:Python060

gazebo-planner

Language:Python050

hcn-core

Language:Python030

hse-projects

Student projects developed in HSE

Language:Python030

isyt2017rl

ISyT 2017 RL Competition

Language:Python030

map-multi

Language:Python030

map-reasoner

Language:Python050

map-scripts

This repository was created to save updates of the group work for merging scripts obtained from the text and the agent’s sign world model.

Language:Jupyter Notebook050

map-spatial

Language:Python030

mpf-simple

Language:Java020

rl-multi

040

ros-rl

Language:Python050

swm-viz

Visualization for sign world model

Language:JavaScript020

vsa_vqa

Language:Python040