hilkoc/AI_Arena
The purpose of this project is to research Artificial Intelligence and Reinforcement Learning. In the AI Arena, multiple agents can interact with a single environment. After sending its action, each each agent will receive a reward. This allows agents to learn, improve their behavior and to adapt to each other. Interesting phenomena can arise...
C++MIT
Stargazers
- aecallahanFacebook
- approbatory
- biananETH Zurich
- dannypageIndeed
- devloper13
- dudeisbrendan03@tpcofficial
- EnderUPCUPC BarcelonaTech
- ignaciocases
- jetliao0909
- jojo13572001Huawei
- joohyoungCHSoft
- jstzwjSuZhou,China
- Kamuish@iastro-pt
- marcofavorito@bancaditalia
- mvrozantiSão Paulo, Brazil
- nicehiro@romi-lab
- OleguerCanal@KTH
- opticodeQfinsoft
- Oroul
- OscarcarLiPittsburgh, USA
- ParsonsZeng
- philigoeUnited States
- QingbiaoLiComputer Lab, The University of Cambridge
- Ringosun
- rlnwk
- scenaristeurSmag0
- StijnvanWijk98
- StormBartlettAustralia
- Stormix@Stormix-co
- sudarshbuxyyesNew Delhi
- tamsri@intelek-ai @earlybirdvc
- tanglebones
- tyjch
- yangzm11Beijing, China