A hybrid architecture, called EXP1, automatically balances exploration and exploitation to solve mazes with large real numbered search spaces.

Our hybrid architecture, called EXPl , automatically balances exploration and exploitation to solve mazes with large real numbered search spaces.

We present a hybrid architecture, called EXP1, which balances exploration and exploitation in order to efficiently solve two dimensional mazes with large state.

The classic tradeoff between exploration and exploitation in organizational learning has attracted vigorous attention by researchers over the last two ...

Dec 15, 2021 · An algorithm, referred to as Generative Action Selection through Probability (GRASP), is proposed to improve exploration in reinforcement learning.

Apr 9, 2020 · The problem above is the essence of the exploration vs. exploitation problem. The agent can either exploit known states with high rewards or ...

Jun 8, 2005 · We present the first results obtained from two implementations of a hybrid architecture which balances exploration and exploitation to solve ...

By balancing exploration and exploitation, the EET planner reduces the amount of configuration space search required to solve planning problems: the roadmap ...

Too much exploration will adversely influence the efficiency and convergence of the learning algorithm, while putting too much emphasis on exploitation will ...

It is important for a robot to acquire adaptive behaviors for avoiding surrounding robots and obstacles in complicated environments.