Accelerating reinforcement learning with a directional-gaussian-smoothing evolution strategy
Evolution strategy (ES) has been shown great promise in many challenging reinforcement
learning (RL) tasks, rivaling other state-of-the-art deep RL methods. Yet, there are two …
learning (RL) tasks, rivaling other state-of-the-art deep RL methods. Yet, there are two …
Accelerating reinforcement learning with a Directional-Gaussian-Smoothing evolution strategy
Z Jiaxin, T Hoang, Z Guannan - Electronic Research Archive, 2021 - aimsciences.org
The objective of reinforcement learning (RL) is to find an optimal strategy for solving a
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
[PDF][PDF] ACCELERATING REINFORCEMENT LEARNING WITH A DIRECTIONAL-GAUSSIAN-SMOOTHING EVOLUTION STRATEGY
J Zhang, H Tran, G Zhang - aimspress.com
The objective of reinforcement learning (RL) is to find an optimal strategy for solving a
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
J Zhang, H Tran, G Zhang - 2020 - fugumt.com
Evolution strategy (ES) has been shown great promise in many challenging reinforcement
learning (RL) tasks. There are two limitations in the current ES practice that may hinder its …
learning (RL) tasks. There are two limitations in the current ES practice that may hinder its …
ACCELERATING REINFORCEMENT LEARNING WITH A DIRECTIONAL-GAUSSIAN-SMOOTHING EVOLUTION STRATEGY.
J Zhang, H Tran, G Zhang - Electronic Research Archive, 2021 - go.gale.com
The objective of reinforcement learning (RL) is to find an optimal strategy for solving a
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
J Zhang, H Tran, G Zhang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Evolution strategy (ES) has been shown great promise in many challenging reinforcement
learning (RL) tasks, rivaling other state-of-the-art deep RL methods. Yet, there are two …
learning (RL) tasks, rivaling other state-of-the-art deep RL methods. Yet, there are two …
[PDF][PDF] ACCELERATING REINFORCEMENT LEARNING WITH A DIRECTIONAL-GAUSSIAN-SMOOTHING EVOLUTION STRATEGY
J Zhang, H Tran, G Zhang - aimspress.com
The objective of reinforcement learning (RL) is to find an optimal strategy for solving a
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
dynamical control problem. Evolution strategy (ES) has been shown great promise in many …
Accelerating reinforcement learning with a Directional-Gaussian-Smoothing evolution strategy
Z Jiaxin, T Hoang, Z Guannan - Electronic Research Archive, 2021 - aimsciences.org
Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-
00OR22725 with the US Department of Energy (DOE). The US government retains and the …
00OR22725 with the US Department of Energy (DOE). The US government retains and the …