4 votes
Accepted

What are reward networks in reinforcement learning?

In RL, reward networks (also called reward models), say $r_\theta$, have the sole role of learning (approximating) the reward function, defined as $r(s,a)$ or $r(s, a,s')$, in which the latter ...
Luca Anzalone's user avatar
3 votes

What are reward networks in reinforcement learning?

One representative paper for imitation learning is Ho & Ermon's "Generative Adversarial Imitation Learning" (2016). The goal in imitation learning is to learn a policy that can mimic the ...
cinch's user avatar
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2 votes

What are reward networks in reinforcement learning?

I think the reason why some refer to learning a reward policy and others learning an actor policy is that both are possible. For example, GAIL: A discriminator (the reward policy) learns to tell apart ...
Richie Bendall's user avatar

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