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Reward Tweaking: Maximizing the Total Reward While Planning for Short
  Horizons

Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons

9 February 2020
Chen Tessler
Shie Mannor
ArXivPDFHTML

Papers citing "Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons"

4 / 4 papers shown
Title
Heuristic-Guided Reinforcement Learning
Heuristic-Guided Reinforcement Learning
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
30
61
0
05 Jun 2021
Discount Factor as a Regularizer in Reinforcement Learning
Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit
Ron Meir
K. Ciosek
OffRL
19
71
0
04 Jul 2020
Beyond the One Step Greedy Approach in Reinforcement Learning
Beyond the One Step Greedy Approach in Reinforcement Learning
Yonathan Efroni
Gal Dalal
B. Scherrer
Shie Mannor
OffRL
53
48
0
10 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1