Preference-based reinforcement learning (PbRL) provides a natural way to...
Reward function is essential in reinforcement learning (RL), serving as ...
By coordinating terminal smart devices or microprocessors to engage in
c...
By enabling the nodes or agents to solve small-sized subproblems to achi...
We discuss the problem of decentralized multi-agent reinforcement learni...
We focus on a simulation-based optimization problem of choosing the best...