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Planning with RL and episodic-memory behavioral priors
The practical application of learning agents requires sample efficient and interpretable algorithms.
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space
The agent is required to pass the previously unknown F1-style track in the minimum time with the least amount of off-road driving violations.
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