A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
–Neural Information Processing Systems
As one of the most mainstream paradigms for sequential decision-making, RL has extensive applications in many real-world problems (Kober et al., 2013; Mnih et al.,
Neural Information Processing Systems
Feb-17-2026, 09:00:09 GMT
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