Web This site Trusted
30 result(s) for “ip com target site victorsbiscuits com site lemma world site:arxiv.org” of 94 matched · page 2 · 556 ms
Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.
Did you mean ip com target site victorsbiscuits com site lemmy world site:arxiv.org?
Freshness: newest result fetched 25 d ago · median age of these results 25 d · 1 of 30 carry a fetch time
https://arxiv.org/html/2608.02943v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/list/cs.IT/new
all
New submissions (showing 11 of 11 entries)
[1] arXiv:2608
https://arxiv.org/html/2508.20101v1
However, in real-world financial systems, individual assets are not isolated
https://arxiv.org/html/2607.28294v1
A second scheme preserves the realized count and sets the number of events in the bootstrap world as n∗=n(T)n^{\ast}=n(T)
https://arxiv.org/html/2407.20441v1
However, in real-world multi-agent systems, inter-node communication imposes strong constraints, such as limited link capacity and transmission delays [4, 5, 6]
https://arxiv.org/html/2407.15077v2
2 Problem Definition
3 Method
3.1 Monotonic Improvement of B2MAPO scheme
3.2 B2MAPO Framework
3.2.1 Batch Sequence Generation Layer
3.2.2 Batch by Batch Policy Optimization Layer
4 DAG-based B2MAPO Algorithm
4.1 Hierarchical DAG
https://arxiv.org/html/2403.16413v3
org perpetual non-exclusive license
arXiv:2403
https://arxiv.org/html/2608.03452v1
Probing five architectures, twelve trained models each, under lemma-disjoint cross-validation with controls and surface baselines, we show that the models encode the L-shaped class itself, not just its visible alternations
https://arxiv.org/html/2607.28847v1
2 Proof of Lemma 1 (Optimality of Boundary Crossing)
D
https://arxiv.org/src/2006.02759
}{\fUabTMV ~8y9}r' eɎ]yD)uV5h㾕z'& ]'PÄ0 7N* iP3qS [F@ub{@ziXs
https://arxiv.org/list/cs.DS/new
per page: fewer | more | all
New submissions (showing 7 of 7 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.AR/new
more | all
New submissions (showing 4 of 4 entries)
[1] arXiv:2608
https://arxiv.org/list/q-fin.MF/2021-04
A lacuna in the proof of the old Lemma 3
https://arxiv.org/list/cs.SY/new
more | all
New submissions (showing 8 of 8 entries)
[1] arXiv:2608
https://arxiv.org/html/2607.24970v2
Report GitHub Issue
×
Title:
Content selection saved. Describe the issue below:
Description:
Submit without GitHub Submit in GitHub
arXiv is now an independent nonprofit! Learn more ×
Back to arXiv
Why HTML? Report Issue Back to
https://arxiv.org/html/2607.29442v2
1footnoteFootnotefootnotesFootnotes1footnote 1We are grateful to Carsten Chong for fruitful discussions on rough noise. We benefitted from comments by and discussions with Kim Christensen, Mikko Pakkanen, Bent Jesper Christensen, and Mikkel
https://arxiv.org/pdf/2006.02602
,{AGJ Œ GRRBv$!A&MܔYI6[2WeMʢ3VMG !q #%tkFؤ (Zì-s)مH]?X 7;;\ y^Qʣ5qYNoJʊQaeB *ϔuwZ_`iQJ hdK?P6PmՊ IZz s܊$
https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/html/2407.08254v2
1 Introduction
2 Related Work
3 Problem Formulation
3.1 Multi-agent planning with attrition
4 Attritable MCTS with Regret Minimization
4.1 Overview of the A-MCTS algorithm
4.2 Regret Matching For Cooperative Coordination
4.3 Analysis and
https://arxiv.org/html/2407.06328v2
I Introduction
II Preliminaries and Problem Description
II-A Task Allocation Game Model
II-B Learning Rule, Stochastic Alarm Clock, and Evolutionary Dynamics Model
II-C Payoff Vector Estimation
III Convergence Analysis and Revision Rate
https://arxiv.org/pdf/2005.13905
&Q,l@2`0!`01 $4g*S9g9~Pj?}7Z+7/m_^m7?GS_9Y,|?qAB JU$+ {aFB%5|!_F04 0k Ğt:fJ5^c`츾yZ IFv[Yb4 hE9''HC&3hj|w擒cM}iG{X
https://arxiv.org/pdf/2608.03118
>~|):{iJ3/S,a)0ŤL30m5j ˤd0 MB_E [; /b [&DcPƤ¤ ^L *%:Pc & 4I0βT8X44IT,5Yj1O4Y5̗)dJ82~_(L8 tǏ껳| ` PJ4
https://arxiv.org/pdf/2006.01128
stream xP( endstream endobj 11 0 obj > stream xP( endstream endobj 17 0 obj > stream xP( endstream endobj 20 0 obj > stream xP( endstream endobj 23 0 obj > stream xP( endstream endobj
https://arxiv.org/html/2607.27099v1
org perpetual non-exclusive license
arXiv:2607
https://arxiv.org/html/2604.05327v4
Variational Preferences
Report GitHub Issue
×
Title:
Content selection saved. Describe the issue below:
Description:
Submit without GitHub Submit in GitHub
arXiv is now an independent nonprofit! Learn more ×
Back to arXiv
Why HTML?
https://arxiv.org/html/2309.08431v3
Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision
1 Introduction
2 Constant function markets and concentrated liquidity
2.1 Constant function markets
2.2 Concentrated liquidity markets
3 The wealth of
https://arxiv.org/html/2511.06451v1
1 Data Protocol (arXiv Release)
Synthetic risk–neutral generator
https://arxiv.org/html/2407.04889v1
behavior of other learners
1 Introduction
Setting.
Zero-sum games.
General-sum games.
1.1 Preliminaries
1.2 Algorithms for the learner
1.3 Our results
1.3.1 Zero sum games
Continuous-time games.
Discrete-time games.
1.3.2 A lower bound
https://arxiv.org/pdf/2609.18842
[{MCal7]ViP:#nPY
https://arxiv.org/html/2407.18010v2
1 Introduction
2 Formulation
3 Existence of a Value and Saddle Point Equilibrium
4 Learning in Unknown Environments
4.1 Convergence using Linear Function Approximators
5 Intervention Budget Constraints
6 Discussion on Subcases
7 Related