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The goal of this PR is to allow custom policies to perform model-based rollouts. In the multi-agent setting, this requires access to not only policies of other agents, but also their current observations. Also, you might want to return the model-based trajectories as part of the rollout for efficiency. compute_actions() now takes a new keyword arg episodes pull out internal episode class into a top-level file add function to return extra trajectories from an episode that will be appended to the sample batch documentation