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Causally Correct Partial Models for Reinforcement Learning

Cited by: 4|Views115
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In reinforcement learning, we can learn a model of future observations and rewards, and use it to plan the agent's next actions. However, jointly modeling future observations can be computationally expensive or even intractable if the observations are high-dimensional (e.g. images). For this reason, previous works have considered partia...More

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Papamakarios George
Papamakarios George
Ke Nan Rosemary
Ke Nan Rosemary
Jiang Ray
Jiang Ray
Merzic Hamza
Merzic Hamza
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