Maximum Entropy Inverse Reinforcement Learning
Found 4 free book(s)Soft Actor-Critic: Off-Policy Maximum Entropy Deep ...
arxiv.orgMaximum 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
Generative Adversarial Imitation Learning
proceedings.neurips.ccInverse 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
Maximum Entropy Inverse Reinforcement Learning
www.aaai.orgMaximum 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
Reinforcement Learning: Theory and Algorithms
rltheorybook.github.ioReinforcement 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!