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The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control., , and . HCI (20), volume 6780 of Lecture Notes in Computer Science, page 525-527. Springer, (2011)Coordination-driven Learning in Multi-agent Problem Spaces., , and . AAAI Fall Symposium: ALEC, volume 2269 of CEUR Workshop Proceedings, page 56-58. CEUR-WS.org, (2018)COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations., and . ICMCIS, page 1-10. IEEE, (2024)Multiple View Performers for Shape Completion., , , , and . CoRR, (2022)An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning., , , , , and . AICAS, page 1-4. IEEE, (2021)Energy-Efficient Hardware for Language Guided Reinforcement Learning., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 131-136. ACM, (2020)Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft., , , and . AAAI Spring Symposium: MAKE, volume 3121 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments., , , , and . AAMAS, page 465-473. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Learning Behaviors from a Single Video Demonstration Using Human Feedback., , , and . AAMAS, page 1970-1972. International Foundation for Autonomous Agents and Multiagent Systems, (2019)E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning., , , , , , and . ACM Trans. Design Autom. Electr. Syst., 27 (5): 45:1-45:19 (2022)