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Improving exploration in policy gradient search: Application to symbolic optimization., , , , , , , and . CoRR, (2021)Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters., , , , , , , , and . ICNC, page 25-29. IEEE, (2023)Simultaneously Learning and Advising in Multiagent Reinforcement Learning., , and . AAMAS, page 1100-1108. ACM, (2017)Symbolic Regression via Neural-Guided Genetic Programming Population Seeding., , , , , and . CoRR, (2021)A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning., , , , and . BRACIS, page 109-114. IEEE Computer Society, (2018)MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning., , and . IEEE Trans. Cybern., 49 (2): 567-579 (2019)Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning., and . J. Open Source Softw., 6 (64): 3424 (2021)A Review on Simulation Platforms for Agent-Based Modeling in Electrified Transportation., , , and . IEEE Trans. Intell. Transp. Syst., 25 (2): 1131-1147 (February 2024)Collaborative energy demand response with decentralized actor and centralized critic., , , , , and . BuildSys@SenSys, page 333-337. ACM, (2021)Policy Reuse in Deep Reinforcement Learning., and . AAAI, page 4929-4930. AAAI Press, (2017)