Abstract: Unmanned aerial vehicles (UAVs) can be considered in many applications, such as wireless communication, logistics transportation, agriculture and disaster prevention. The flexible ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...
DeepSeek found that it could improve the reasoning and outputs of its model simply by incentivizing it to perform a trial-and ...
Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...
Abstract: Legged robots are supposed to traverse complicated environments, which makes it challenging to design a model-based controller due to their functional complexity. Currently, using deep ...
Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
US Naval Research Laboratory scientists have successfully trained an Astrobee zero-gravity robot to fly in space without human interference.
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