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Results tagged with imitation-learning
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user 1847
For questions related to imitation learning (IL), a reinforcement learning technique where a policy is learned from examples (represented as trajectories) of an (optimal) agent's behavior. IL is similar to inverse reinforcement learning (IRL), where a reward function is learned from examples of the (optimal) agent's behavior, which can then be used to solve the RL problem (i.e. find the policy).
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Initialising DQN with weights from imitation learning rather than policy gradient network
My understanding is that you are first training a policy network using imitation learning. Then you are adjusting that trained network in some way to be a value network for DQN. The most obvious chang …
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