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Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning.

, , , , , and . AAMAS, page 520-528. International Foundation for Autonomous Agents and Multiagent Systems, (2020)

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Neuro-DCF: Design of Wireless MAC via Multi-Agent Reinforcement Learning Approach., , , , and . MobiHoc, page 141-150. ACM, (2021)Rumor source detection under querying with untruthful answers., , , , , and . INFOCOM, page 1-9. IEEE, (2017)Information Source Finding in Networks: Querying With Budgets., , , , , and . IEEE/ACM Trans. Netw., 28 (5): 2271-2284 (2020)Continual Learning on Noisy Data Streams via Self-Purified Replay., , , and . ICCV, page 517-527. IEEE, (2021)Estimating the rumor source with anti-rumor in social networks., , , and . ICNP, page 1-6. IEEE Computer Society, (2016)Distributed Optimization of Nonlinear, Non-Gaussian, Communication-Aware Information using Particle Methods., and . ICRA, page 2493-2499. IEEE, (2020)BRUTE: Energy-Efficient User Association in Cellular Networks From Population Game Perspective., , and . IEEE Trans. Wirel. Commun., 15 (1): 663-675 (2016)On Greening Cellular Networks by Sharing Base Stations: A Game-theoretic Approach., , and . VALUETOOLS, page 87-94. ACM, (2015)Energy-efficient user association in cellular networks: A population game approach., , and . WiOpt, page 388-395. IEEE, (2013)A-DCF: Design and implementation of delay and queue length based wireless MAC., , and . INFOCOM, page 2173-2181. IEEE, (2015)