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CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
With this dataset, we train a return-conditioned multi-agent behaviour model that allows for fine-grained manipulation of agent behaviours by modifying the desired returns for the various reward components.
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