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World Models with A3C on Carracing-v0 in gym
Minimum viable reinforcement learning algorithms for your educational convenience.
This project introduces an adapted version of Plan2Explore, where an agent builds a world model trained in a self-supervised manner.
RLFlow: Optimising Neural Network Subgraph Transformation with World Models