Benchmark with simple action-perception loop

Hi, I’m looking for a CL benchmark that would allow for agents with simple action-perception loops. Ideally this would be VERY simple, because I’m just getting started and I don’t want to get bogged down in perception problems. I guess something like CL for RL which can run on a single machine in minutes/hours. Any pointers would be much appreciated, thanks!

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Hi @MarkNZed!

Check out these two papers, they list very interesting envs (mostly low-dimensional) that have been already used for CL:

The new version of Avalanche (v0.2.0) will natively support the construction of CL benchmarks based on gym environments. We are looking how to integrate stable-baselines within Avalanche for the future.

Finally I’d really love to explore the NetHack / MiniHack Learning environment which has very simple tasks as well as very complex ones: very cool for prototype small & scale fast:

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