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Found 2 papers, 1 papers with code
Contextual Inverse Reinforcement Learning
In this setting, the reward, which is unknown to the agent, is a function of a static parameter referred to as the context.
Inverse Reinforcement Learning in Contextual MDPs
Most importantly, we show both theoretically and empirically that our algorithms perform zero-shot transfer (generalize to new and unseen contexts).
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