Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kastner, Tyler"'
We investigate the impact of auxiliary learning tasks such as observation reconstruction and latent self-prediction on the representation learning problem in reinforcement learning. We also study how they interact with distractions and observation fu
Externí odkaz:
http://arxiv.org/abs/2406.17718
Behavioural metrics have been shown to be an effective mechanism for constructing representations in reinforcement learning. We present a novel perspective on behavioural metrics for Markov decision processes via the use of positive definite kernels.
Externí odkaz:
http://arxiv.org/abs/2310.19804
We consider the problem of learning models for risk-sensitive reinforcement learning. We theoretically demonstrate that proper value equivalence, a method of learning models which can be used to plan optimally in the risk-neutral setting, is not suff
Externí odkaz:
http://arxiv.org/abs/2307.01708
We present a new behavioural distance over the state space of a Markov decision process, and demonstrate the use of this distance as an effective means of shaping the learnt representations of deep reinforcement learning agents. While existing notion
Externí odkaz:
http://arxiv.org/abs/2106.08229
Autor:
Brown, Elizabeth1 (AUTHOR), Kastner, Tyler1 (AUTHOR), Harder, Justin2 (AUTHOR), Cox, Cameron2 (AUTHOR), MacKay, Brendan2 (AUTHOR) brendan.j.mackay@ttuhsc.edu
Publikováno v:
Clinical Case Reports. Sep2023, Vol. 11 Issue 9, p1-5. 5p.
Publikováno v:
Techniques in Hand & Upper Extremity Surgery; Dec2023, Vol. 27 Issue 4, p243-248, 6p