MLINFO COLLECTION

強化学習

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arxiv

Impossibility of No-Regret in Multi-Agent Bidding

We consider $T$ repeated second-price auctions across $n$ pacing bidders with i.i.d. item arrivals, and show that it is computationally impossible for all bidders to achieve no-regret simultaneously…

reinforcement-learning
arxiv

A Trainable CPG Framework for Quadruped Locomotion

We present CPG-ENN, a trainable quadruped locomotion framework that combines explicit neural coordination with learned motion realization. A symmetry-based eight-neuron central pattern generator…

reinforcement-learning
arxiv

Learning-Augmented Coordination Mechanisms

The inefficiency of decentralized resource allocation is classically measured by the Price of Anarchy (PoA) and the Price of Stability (PoS). The most widely studied and foundational class of these…

reinforcement-learning
arxiv

Trim: Fee Level Matters More Than Skew in Lightning Routing

Lightning routing nodes lend their channel balance for a posted fee. Operators' tools move that fee with the balance around a hand-set level, and which part of the fee drives revenue is unclear.

reinforcement-learning