Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...
Abstract: A novel control design problem for a class of non-strict feedback multi-agent systems (MAS) in discrete-time form is studied based on reinforcement learning (RL) and applied to multi-marine ...
A simulation engine is a powerful tool that provides realistic approximations of physical systems. With maple-sim, we integrate the open-source Java rigid-body dynamics engine, dyn4j, capable of ...
09.2024: Rejected by NeurIPS 2024 with 5 positive scores and no negative score, because "AC: lack of novelty"ðŸ˜. Wish me good luck. 02.2025: Accepted by CVPR 2025🎉 07.2025: Spoil alert: We will come ...
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