TheMTank/cups-rl
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"
PythonMIT
Stargazers
- AmrMKayidco:X
- beduffyBearcover + MTank
- bjuspiNanyang Technological University
- bolei-zhang
- chenwydj
- creminsg
- donghaiwang湖南工商大学
- fernandotorchGermany
- GELIELEO
- Green-GitHuber
- helenalee16888
- joaorafaelm@xapo
- kjunelee
- lhl0796
- mantonios107
- michaelvogt
- muupan@pfnet
- nanxintinHuawei Noah's Ark Lab
- ngthanhtinN.G.U
- pxc3113河北张家口
- QingminChen
- Rowing0914LINE Corp
- sakebow
- sFanci7
- ShawnLueWechat AI, Tencent
- tomhas-hub
- trsumitIreland
- warship7
- wcarvalhoHarvard University
- WuJie1010ByteDance
- wwxFromTjuDRL/MAS
- wytyang00Columbus, OH, US
- xianjiuqi
- zfwang615
- zhoukang123
- ZzmonicaSYSU