Internal Model from Observations for Reward Shaping

2 Jun 2018Daiki KimuraSubhajit ChaudhuryRyuki TachibanaSakyasingha Dasgupta

Reinforcement learning methods require careful design involving a reward function to obtain the desired action policy for a given task. In the absence of hand-crafted reward functions, prior work on the topic has proposed several methods for reward estimation by using expert state trajectories and action pairs... (read more)

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