Maximum likelihood constraint inference for inverse reinforcement learning

DRR Scobee, SS Sastry - arXiv preprint arXiv:1909.05477, 2019 - arxiv.org
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on
estimating a reward function that best explains an expert agent's policy or demonstrated …
被引用次数：75 相关文章

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

DRR Scobee, S Shankar Sastry - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on
estimating a reward function that best explains an expert agent's policy or demonstrated …
[PDF] berkeley.edu

[PDF][PDF] MAXIMUM LIKELIHOOD CONSTRAINT INFERENCE FOR INVERSE REINFORCEMENT LEARNING

DRR Scobee, SS Sastry - people.eecs.berkeley.edu
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on
estimating a reward function that best explains an expert agent's policy or demonstrated …

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

DRR Scobee, SS Sastry - International Conference on Learning … - openreview.net
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on
estimating a reward function that best explains an expert agent's policy or demonstrated …
[PDF] berkeley.edu

[PDF][PDF] MAXIMUM LIKELIHOOD CONSTRAINT INFERENCE FOR INVERSE REINFORCEMENT LEARNING

DRR Scobee, SS Sastry - people.eecs.berkeley.edu
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on
estimating a reward function that best explains an expert agent's policy or demonstrated …

[引用][C] Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

DRR Scobee, SS Sastry - openreview.net
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on
estimating a reward function that best explains an expert agent's policy or demonstrated …