Solving Infinite-Player Games with Player-to-Strategy Networks | Paper Citation Record

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Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

Reference 1

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This paper cites The mechanics of n-player differentiable games.

Solving Infinite-Player Games with Player-to-Strategy Networks The mechanics of n-player differentiable games

Reference 2

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This paper cites Berahas, Liyuan Cao, Krzysztof Choromanski, and Katya Scheinberg.

Solving Infinite-Player Games with Player-to-Strategy Networks Berahas, Liyuan Cao, Krzysztof Choromanski, and Katya Scheinberg

Reference 3

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This paper cites Learning equilibria in symmetric auction games using artificial neural networks.

Solving Infinite-Player Games with Player-to-Strategy Networks Learning equilibria in symmetric auction games using artificial neural networks

Reference 4

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This paper cites JAX : Composable transformations of Python + NumPy programs, 2018.

Solving Infinite-Player Games with Player-to-Strategy Networks JAX : Composable transformations of Python + NumPy programs, 2018

Reference 5

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This paper cites Superhuman AI for multiplayer poker.

Solving Infinite-Player Games with Player-to-Strategy Networks Superhuman AI for multiplayer poker

Reference 6

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Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

Reference 7

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Solving Infinite-Player Games with Player-to-Strategy Networks Caines, Minyi Huang, and Roland P

Reference 8

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This paper cites The dyson and coulomb games.

Solving Infinite-Player Games with Player-to-Strategy Networks The dyson and coulomb games

Reference 9

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This paper cites Bertrand and Cournot mean field games.

Solving Infinite-Player Games with Player-to-Strategy Networks Bertrand and Cournot mean field games

Reference 10

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This paper cites Principes de la th \'e orie des richesses.

Solving Infinite-Player Games with Player-to-Strategy Networks Principes de la th \'e orie des richesses

Reference 11

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This paper cites Approximation by superpositions of a sigmoidal function.

Solving Infinite-Player Games with Player-to-Strategy Networks Approximation by superpositions of a sigmoidal function

Reference 12

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This paper cites The existence of equilibrium in discontinuous economic games 1: Theory.

Solving Infinite-Player Games with Player-to-Strategy Networks The existence of equilibrium in discontinuous economic games 1: Theory

Reference 13

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This paper cites Training GAN s with optimism.

Solving Infinite-Player Games with Player-to-Strategy Networks Training GAN s with optimism

Reference 14

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This paper cites A social equilibrium existence theorem.

Solving Infinite-Player Games with Player-to-Strategy Networks A social equilibrium existence theorem

Reference 15

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This paper cites The D eep M ind JAX E cosystem, 2020.

Solving Infinite-Player Games with Player-to-Strategy Networks The D eep M ind JAX E cosystem, 2020

Reference 16

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Solving Infinite-Player Games with Player-to-Strategy Networks Duchi, Michael I

Reference 17

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This paper cites Beitrag zur theorie des ferromagnetismus.

Solving Infinite-Player Games with Player-to-Strategy Networks Beitrag zur theorie des ferromagnetismus

Reference 18

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This paper cites Fixed point and minimax theorems in locally convex topological linear spaces.

Solving Infinite-Player Games with Player-to-Strategy Networks Fixed point and minimax theorems in locally convex topological linear spaces

Reference 19

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This paper cites Feldman, Inwon C.

Solving Infinite-Player Games with Player-to-Strategy Networks Feldman, Inwon C

Reference 20

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This paper cites Ising model versus normal form game.

Solving Infinite-Player Games with Player-to-Strategy Networks Ising model versus normal form game

Reference 21

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This paper cites Computing equilibria by incorporating qualitative models.

Solving Infinite-Player Games with Player-to-Strategy Networks Computing equilibria by incorporating qualitative models

Reference 22

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This paper cites A further generalization of the K akutani fixed point theorem, with application to N ash equilibrium points.

Solving Infinite-Player Games with Player-to-Strategy Networks A further generalization of the K akutani fixed point theorem, with application to N ash equilibrium points

Reference 23

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Solving Infinite-Player Games with Player-to-Strategy Networks Monte Carlo sampling methods using Markov chains and their applications

Reference 24

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This paper cites Delving deep into rectifiers: Surpassing human-level performance on I mage N et classification.

Solving Infinite-Player Games with Player-to-Strategy Networks Delving deep into rectifiers: Surpassing human-level performance on I mage N et classification

Reference 25

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This paper cites Flax : A neural network library and ecosystem for JAX , 2023.

Solving Infinite-Player Games with Player-to-Strategy Networks Flax : A neural network library and ecosystem for JAX , 2023

Reference 26

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This paper cites Approximation capabilities of multilayer feedforward networks.

Solving Infinite-Player Games with Player-to-Strategy Networks Approximation capabilities of multilayer feedforward networks

Reference 27

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Solving Infinite-Player Games with Player-to-Strategy Networks Multilayer feedforward networks are universal approximators

Reference 28

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This paper cites The limits of min-max optimization algorithms: Convergence to spurious non-critical sets.

Solving Infinite-Player Games with Player-to-Strategy Networks The limits of min-max optimization algorithms: Convergence to spurious non-critical sets

Reference 29

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This paper cites On the convergence of single-call stochastic extra-gradient methods.

Solving Infinite-Player Games with Player-to-Strategy Networks On the convergence of single-call stochastic extra-gradient methods

Reference 30

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Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

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Solving Infinite-Player Games with Player-to-Strategy Networks Self-gated rectified linear unit for performance improvement of deep neural networks

Reference 32

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Solving Infinite-Player Games with Player-to-Strategy Networks Ali Khan

Reference 33

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This paper cites Ali Khan.

Solving Infinite-Player Games with Player-to-Strategy Networks Ali Khan

Reference 34

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This paper cites Ali Khan and Nikolaos S.

Solving Infinite-Player Games with Player-to-Strategy Networks Ali Khan and Nikolaos S

Reference 35

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Solving Infinite-Player Games with Player-to-Strategy Networks Ali Khan and Nikolaos S

Reference 36

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Solving Infinite-Player Games with Player-to-Strategy Networks Ali Khan and Yeneng Sun

Reference 37

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Solving Infinite-Player Games with Player-to-Strategy Networks Yannelis

Reference 38

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Solving Infinite-Player Games with Player-to-Strategy Networks Auction Theory

Reference 39

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Solving Infinite-Player Games with Player-to-Strategy Networks A unified game-theoretic approach to multiagent reinforcement learning

Reference 40

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Solving Infinite-Player Games with Player-to-Strategy Networks Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods

Reference 41

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This paper cites Beitr s ge zum verst s ndnis der magnetischen eigenschaften in festen k s rpern.

Solving Infinite-Player Games with Player-to-Strategy Networks Beitr s ge zum verst s ndnis der magnetischen eigenschaften in festen k s rpern

Reference 42

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Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

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Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

Reference 44

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This paper cites Multilayer feedforward networks with a nonpolynomial activation function can approximate any function.

Solving Infinite-Player Games with Player-to-Strategy Networks Multilayer feedforward networks with a nonpolynomial activation function can approximate any function

Reference 45

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This paper cites Differentiable game mechanics.

Solving Infinite-Player Games with Player-to-Strategy Networks Differentiable game mechanics

Reference 46

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Solving Infinite-Player Games with Player-to-Strategy Networks Stable opponent shaping in differentiable games

Reference 47

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This paper cites Computing approximate equilibria in sequential adversarial games by exploitability descent.

Solving Infinite-Player Games with Player-to-Strategy Networks Computing approximate equilibria in sequential adversarial games by exploitability descent

Reference 48

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This paper cites Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks.

Solving Infinite-Player Games with Player-to-Strategy Networks Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks

Reference 49

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This paper cites Joint-perturbation simultaneous pseudo-gradient.

Solving Infinite-Player Games with Player-to-Strategy Networks Joint-perturbation simultaneous pseudo-gradient

Reference 50

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This paper cites Ratliff, and S.

Solving Infinite-Player Games with Player-to-Strategy Networks Ratliff, and S

Reference 51

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This paper cites On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games.

Solving Infinite-Player Games with Player-to-Strategy Networks On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games

Reference 52

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This paper cites Learning in games with continuous action sets and unknown payoff functions.

Solving Infinite-Player Games with Player-to-Strategy Networks Learning in games with continuous action sets and unknown payoff functions

Reference 53

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This paper cites Equation of state calculations by fast computing machines.

Solving Infinite-Player Games with Player-to-Strategy Networks Equation of state calculations by fast computing machines

Reference 54

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Observation 8ffd6fc3-13a5-4eb6-a50e-d47e20ebc77d · outbound

This paper cites Generic Uniqueness of Equilibria in Nonatomic Congestion Games.

Solving Infinite-Player Games with Player-to-Strategy Networks Generic Uniqueness of Equilibria in Nonatomic Congestion Games

Reference 55

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Observation 5b64c1e1-7309-4d74-8945-e17152139ea3 · outbound

This paper cites Generic uniqueness of equilibrium in large crowding games.

Solving Infinite-Player Games with Player-to-Strategy Networks Generic uniqueness of equilibrium in large crowding games

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.955289Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08c72de0-960a-4ea0-b1c6-6f39bd0c0f08 · outbound

This paper cites Topological conditions for uniqueness of equilibrium in networks.

Solving Infinite-Player Games with Player-to-Strategy Networks Topological conditions for uniqueness of equilibrium in networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.825087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da348f2e-1244-4b6b-96bd-b07ba0f13def · outbound

This paper cites Learning equilibria in mean-field games: Introducing mean-field PSRO.

Solving Infinite-Player Games with Player-to-Strategy Networks Learning equilibria in mean-field games: Introducing mean-field PSRO

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.809161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0564cfb3-b281-40b4-8df3-ccb15b822cc7 · outbound

This paper cites Equilibrium points in n-person games.

Solving Infinite-Player Games with Player-to-Strategy Networks Equilibrium points in n-person games

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:34.945224Z

Source-reported events for the cited work

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Observation 4f563910-b063-43fe-98bb-89c76d24b66f · outbound

This paper cites Non-cooperative games.

Solving Infinite-Player Games with Player-to-Strategy Networks Non-cooperative games

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.782194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 106e70d5-61f2-4bc4-b174-e9a2805e408a · outbound

This paper cites Random gradient-free minimization of convex functions.

Solving Infinite-Player Games with Player-to-Strategy Networks Random gradient-free minimization of convex functions

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.765714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1cf1461-347e-41ee-b225-15ea2e55cd6c · outbound

This paper cites Perfectly competitive markets as the limits of Cournot markets.

Solving Infinite-Player Games with Player-to-Strategy Networks Perfectly competitive markets as the limits of Cournot markets

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.749658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5da541d-90d9-451b-8932-4b5be8e2f35a · outbound

This paper cites Graphon games.

Solving Infinite-Player Games with Player-to-Strategy Networks Graphon games

Reference 63

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:14:35.233575Z

Source-reported events for the cited work

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Observation 71c2ac0b-22bd-4564-b946-98ef8fa62464 · outbound

This paper cites Graphon games: A statistical framework for network games and interventions.

Solving Infinite-Player Games with Player-to-Strategy Networks Graphon games: A statistical framework for network games and interventions

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.733389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f216ae7-77ce-44dd-9a7f-457b5c3cd4c8 · outbound

This paper cites Scaling mean field games by online mirror descent.

Solving Infinite-Player Games with Player-to-Strategy Networks Scaling mean field games by online mirror descent

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.716194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8e445d5-187d-4203-9465-2d8cf2a84aba · outbound

This paper cites Fictitious play for mean field games: Continuous time analysis and applications.

Solving Infinite-Player Games with Player-to-Strategy Networks Fictitious play for mean field games: Continuous time analysis and applications

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.699906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a73b777-ca6e-4f06-8c04-5a4c15acede7 · outbound

This paper cites Approximation theory of the MLP model in neural networks.

Solving Infinite-Player Games with Player-to-Strategy Networks Approximation theory of the MLP model in neural networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.684620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b6bd344-1a64-4e1f-8052-930b45818801 · outbound

This paper cites A modification of the A rrow- H urwicz method for search of saddle points.

Solving Infinite-Player Games with Player-to-Strategy Networks A modification of the A rrow- H urwicz method for search of saddle points

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.667516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad076151-6ce2-44dd-865e-7afe2fac2123 · outbound

This paper cites On the spectral bias of neural networks.

Solving Infinite-Player Games with Player-to-Strategy Networks On the spectral bias of neural networks

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.650775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da8c0ef7-71f3-48aa-b470-22171904b23a · outbound

This paper cites an unresolved cited work.

Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:14:35.635004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e49852de-d70b-42e6-aa0e-26a08ba9bf18 · outbound

This paper cites The unreasonable effectiveness of quasirandom sequences, 2018.

Solving Infinite-Player Games with Player-to-Strategy Networks The unreasonable effectiveness of quasirandom sequences, 2018

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.619819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d653db8-fffe-4fd1-a229-2414cc5a93f7 · outbound

This paper cites Ben Rosen.

Solving Infinite-Player Games with Player-to-Strategy Networks Ben Rosen

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.604437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f47da52a-b5f0-45c4-9dc5-d73f7e0293dd · outbound

This paper cites An automatic method for finding the greatest or least value of a function.

Solving Infinite-Player Games with Player-to-Strategy Networks An automatic method for finding the greatest or least value of a function

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.588388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bc59a9d-f20a-4446-9bd6-f2c3b95e1a40 · outbound

This paper cites Evolution strategies as a scalable alternative to reinforcement learning, 2017.

Solving Infinite-Player Games with Player-to-Strategy Networks Evolution strategies as a scalable alternative to reinforcement learning, 2017

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:35.017114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b18bc48-3df1-47f7-8f3d-3fcacddb051f · outbound

This paper cites Equilibrium points of nonatomic games.

Solving Infinite-Player Games with Player-to-Strategy Networks Equilibrium points of nonatomic games

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.561629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 195107a5-f3c9-4bee-a778-f9689a763dd9 · outbound

This paper cites An optimal algorithm for bandit and zero-order convex optimization with two-point feedback.

Solving Infinite-Player Games with Player-to-Strategy Networks An optimal algorithm for bandit and zero-order convex optimization with two-point feedback

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.546129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6c5a147-cbdc-4132-ab3e-0f4462039c91 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

Solving Infinite-Player Games with Player-to-Strategy Networks Fourier features let networks learn high frequency functions in low dimensional domains

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.530736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 621482a0-c841-4f37-b274-b7504f2744e0 · outbound

This paper cites Approximate exploitability: Learning a best response.

Solving Infinite-Player Games with Player-to-Strategy Networks Approximate exploitability: Learning a best response

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.515470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10410c92-6524-413c-a20e-d25d5acc7a18 · outbound

This paper cites Munchausen reinforcement learning.

Solving Infinite-Player Games with Player-to-Strategy Networks Munchausen reinforcement learning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.499466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58de487f-5b04-4533-b760-5e3716072443 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J.

Solving Infinite-Player Games with Player-to-Strategy Networks Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.484227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cac0c91d-3ebb-4a24-b1fa-2346ec72f10d · outbound

This paper cites Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report.

Solving Infinite-Player Games with Player-to-Strategy Networks Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:14:35.132172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1cd76dcd-c8c0-4321-93d5-960fa7668ae8 · outbound

This paper cites an unresolved cited work.

Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:14:35.468353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da5e111a-2f4b-43e6-bb66-80c1927f4f49 · outbound

This paper cites Natural evolution strategies.

Solving Infinite-Player Games with Player-to-Strategy Networks Natural evolution strategies

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.451940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3cf24be7-76f2-4f6d-80c2-2d0e4bd5ce06 · outbound

This paper cites COLA : Consistent learning with opponent-learning awareness.

Solving Infinite-Player Games with Player-to-Strategy Networks COLA : Consistent learning with opponent-learning awareness

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.434939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2412e98c-d17d-45f9-a85d-147f3f6d3ed1 · outbound

This paper cites Open and closed loop Nash equilibria in games with a continuum of players.

Solving Infinite-Player Games with Player-to-Strategy Networks Open and closed loop Nash equilibria in games with a continuum of players

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.419148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 770a45b7-9f33-4831-92d4-e1e27addcbdf · outbound

This paper cites Population-aware online mirror descent for mean-field games by deep reinforcement learning.

Solving Infinite-Player Games with Player-to-Strategy Networks Population-aware online mirror descent for mean-field games by deep reinforcement learning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.403137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a03ff14-dd87-49f2-a435-35a2bf7255b6 · outbound

This paper cites an unresolved cited work.

Solving Infinite-Player Games with Player-to-Strategy Networks Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:14:35.386951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11a67a80-9433-409c-957d-427255a850c4 · outbound

This paper cites Stochastic search using the natural gradient.

Solving Infinite-Player Games with Player-to-Strategy Networks Stochastic search using the natural gradient

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:14:35.371031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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