TODO quick summary of game rules? Perhaps: battlecode.org/assets/files/battlecode-guide-xsquare.pdf
Some mechanics:
- inter agent communication
- compute power is limited by limiting Java bytecode count execution per bot per cycle
Gridworld version of DeepMind Lab.
Open sourced in 2020: analyticsindiamag.com/deepmind-just-gave-away-this-ai-environment-simulator-for-free/
A tiny paper: arxiv.org/pdf/2011.07027.pdf
TODO get running, publish demo videos on YouTube.
- github.com/google-deepmind/pushworld 2023 Too combinatorial, gripping makes it so much easier to move stuff around in the real world. But cool nonetheless.
www.gvgai.net (dead as of 2023)
The project kind of died circa 2020 it seems, a shame. Likely they funding ran out. The domain is dead as of 2023, last archive from 2022: web.archive.org/web/20220331022932/http://gvgai.net/. Marks as funded by DeepMind. Researchers really should use university/GitHub domain names!
Similar goals to Ciro's 2D reinforcement learning games, but they were focusing mostly on discrete games.
They have some source at: github.com/GAIGResearch/GVGAI TODO review
A published book at: gaigresearch.github.io/gvgaibook/
From QMUL Game AI Research Group:From other universities:TODO check:
- Simon M. Lucas: gaigresearch.github.io/members/Simon-Lucas, principal investigator
- Diego Perez Liebana www.linkedin.com/in/diegoperezliebana/
- Raluca D. Gaina: www.linkedin.com/in/raluca-gaina-347518114/ from Queen Mary
- Ahmed Khalifa
- Jialin Liu