Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Request To Download Free Sample of This Strategic Report @- The global reinforcement learning market is experiencing a period of rapid growth, with revenue estimated to increase from approximately $3 ...
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...
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