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GLIB: towards automated test oracle for graphically-rich applications.

, , , , , and . ESEC/SIGSOFT FSE, page 1093-1104. ACM, (2021)

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Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning., , , , , and . CoRR, (2022)Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement., , , , and . CoRR, (2023)Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework., , , , , , , and . CoRR, (2020)An empirical study of GUI widget detection for industrial mobile games., , , , , , , and . ESEC/SIGSOFT FSE, page 1427-1437. ACM, (2021)GLIB: towards automated test oracle for graphically-rich applications., , , , , and . ESEC/SIGSOFT FSE, page 1093-1104. ACM, (2021)Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping., , , , , , , and . NeurIPS, (2020)MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration., , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12600-12610. PMLR, (2021)Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns., , , , and . IJCAI, page 457-463. ijcai.org, (2019)Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games., , , , , , , and . CoRR, (2021)An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report)., , , , , , and . ISSRE, page 217-228. IEEE, (2022)