ICAROS (@icaros-usc)
  • Stars
    star
    339
  • Global Org. Rank 30,147 (Top 10 %)
  • Registered almost 6 years ago
  • Most used languages
    Python
    58.8 %
    C++
    17.6 %
    CMake
    11.8 %
    JetBrains MPS
    5.9 %
    C#
    5.9 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 22,191
  • Country Ranking
    JetBrains MPS
    4
    CMake
    506
    Python
    3,776

Top repositories

1

pyribs

A bare-bones Python library for quality diversity optimization.
Python
209
star
2

dqd

A python implementation of differentiable quality diversity.
Python
48
star
3

MarioGAN-LSI

An experimental setup for running quality diversity algorithms on GAN latent spaces.
Python
21
star
4

dqd-rl

Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
Python
18
star
5

overcooked_env_gen

Official implementation of the paper "On the Importance of Environments in Human-Robot Coordination", published in RSS 2021.
Python
8
star
6

milp_constrained_gan

Using MILP to encode constraints of generated game levels.
JetBrains MPS
7
star
7

cma_mae

A python implementation of Covariance Matrix Adaptation MAP-Annealing
Python
6
star
8

dsage

Implementation of Deep Surrogate Assisted Generation of Environments
Python
5
star
9

scaling-cma-mae

Official implementation of "Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing"
Python
4
star
10

wecook_assets

CMake
3
star
11

fairCB-dataset

User Study Dataset for Fair Contextual Multi-Armed Bandits: Theory and Experiments
Python
2
star
12

EvoStone2

Official implementation of the paper "Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding", published in GECCO 2022.
C#
2
star
13

wecook

A platform for long horizontal robotic manipulation and human-robot collaboration research
C++
2
star
14

libada

C++
1
star
15

aikido

C++
1
star
16

pybind11_catkin

CMake
1
star
17

dsas

Code for the paper "Surrogate Assisted Generation of Human-Robot Interaction Scenarios"
Python
1
star