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GitHub / TonghanWang / ROMA
Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TonghanWang%2FROMA
Stars: 139
Forks: 34
Open Issues: 14
License: apache-2.0
Language: Python
Repo Size: 99.6 KB
Dependencies:
49
Created: about 4 years ago
Updated: 10 months ago
Last pushed: over 1 year ago
Last synced: 7 months ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- Pillow ==5.3.0
- PyYAML ==3.13
- absl-py ==0.5.0
- atomicwrites ==1.2.1
- attrs ==18.2.0
- certifi ==2018.8.24
- chardet ==3.0.4
- cycler ==0.10.0
- docopt ==0.6.2
- enum34 ==1.1.6
- future ==0.16.0
- idna ==2.7
- imageio ==2.4.1
- jsonpickle ==0.9.6
- kiwisolver ==1.0.1
- matplotlib ==3.0.0
- mock ==2.0.0
- more-itertools ==4.3.0
- mpyq ==0.2.5
- munch ==2.3.2
- numpy ==1.15.2
- pathlib2 ==2.3.2
- pbr ==4.3.0
- pluggy ==0.7.1
- portpicker ==1.2.0
- probscale ==0.2.3
- protobuf ==3.6.1
- py ==1.6.0
- pygame ==1.9.4
- pyparsing ==2.2.2
- pysc2 ==3.0.0
- pytest ==3.8.2
- python-dateutil ==2.7.3
- requests ==2.19.1
- s2clientprotocol ==4.10.1.75800.0
- sacred ==0.7.2
- scipy ==1.1.0
- six ==1.11.0
- sk-video ==1.1.10
- snakeviz ==1.0.0
- tensorboard-logger ==0.1.0
- torch ==0.4.1
- torchvision ==0.2.1
- tornado ==5.1.1
- urllib3 ==1.23
- websocket-client ==0.53.0
- whichcraft ==0.5.2
- wrapt ==1.10.11
docker/Dockerfile
docker
- nvidia/cuda 9.2-cudnn7-devel-ubuntu16.04 build