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Maximum Entropy Inverse Reinforcement Learning

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Soft Actor-Critic: Off-Policy Maximum Entropy Deep ...

arxiv.org

Maximum entropy reinforcement learning optimizes poli-cies to maximize both the expected return and the ex-pected entropy of the policy. This framework has been used in many contexts, from inverse reinforcement learn-ing (Ziebart et al.,2008) to optimal control (Todorov,2008; Toussaint,2009;Rawlik et al.,2012). In guided policy

  Learning, Maximum, Learn, Reinforcement, Inverse, Entropy, Maximum entropy, Maximum entropy reinforcement learning, Inverse reinforcement learn ing

Generative Adversarial Imitation Learning

proceedings.neurips.cc

Inverse reinforcement learning Suppose we are given an expert policy ˇ Ethat we wish to ratio-nalize with IRL. For the remainder of this paper, we will adopt and assume the existence of solutions of maximum causal entropy IRL [29, 30], which fits a cost function from a family of functions Cwith the optimization problem

  Learning, Maximum, Reinforcement, Adversarial, Generative, Inverse, Entropy, Imitation, Generative adversarial imitation learning, Inverse reinforcement learning

Maximum Entropy Inverse Reinforcement Learning

www.aaai.org

Maximum Entropy Inverse Reinforcement Learning Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 bziebart@cs.cmu.edu, amaas@andrew.cmu.edu, dbagnell@ri.cmu.edu, anind@cs.cmu.edu Abstract Recent research has shown the benefit of framing problems

  Learning, Maximum, Reinforcement, Inverse, Entropy, Maximum entropy inverse reinforcement learning

Reinforcement Learning: Theory and Algorithms

rltheorybook.github.io

Reinforcement Learning: Theory and Algorithms Alekh Agarwal Nan Jiang Sham M. Kakade Wen Sun November 11, 2021 WORKING DRAFT: We will be frequently updating the book this fall, 2021. Please email bookrltheory@gmail.com with any typos or errors you find. We appreciate it!

  Learning, Theory, Algorithm, Reinforcement, Reinforcement learning, Theory and algorithms

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