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05/20/2021
XGBoost energy consumption prediction based on multi-system data HVAC
The energy consumption of the HVAC system accounts for a significant por...
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01/31/2021
Niching Diversity Estimation for Multi-modal Multi-objective Optimization
Niching is an important and widely used technique in evolutionary multi-...
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04/21/2020
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm
A multi-modal multi-objective optimization problem is a special kind of ...
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02/14/2019
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning
We propose a new policy iteration theory as an important extension of so...
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09/02/2018
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization
Recently deep reinforcement learning (DRL) has achieved outstanding succ...
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04/17/2018