Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:23.032365Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2505.22979.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:23.032365Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8ca446d6-801f-4b54-9130-aec71a16b413 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Pure nash equilibria and best-response dynamics in random games
Reference 1
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Observation 4ecb6eef-91bd-407b-ba52-3cff4b77692d · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Dynamic mechanism design: An introduction
Reference 2
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Observation 92c17410-2ec2-49c4-98be-69f3e3134c87 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Evolutionary dynamics of multi-agent learning: A survey
Reference 3
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Learning Recommender Mechanisms for Bayesian Stochastic Games Convex optimization
Reference 4
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Observation cacbcd73-50a0-4811-ae5e-49d9e9ecb89e · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games On equilibrium in pure strategies in games with many players
Reference 5
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Learning Recommender Mechanisms for Bayesian Stochastic Games Multiagent learning in the presence of memory-bounded agents
Reference 6
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Learning Recommender Mechanisms for Bayesian Stochastic Games Mechanism Design for Facility Location Problems: A Survey
Reference 7
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Learning Recommender Mechanisms for Bayesian Stochastic Games Automated mechanism design for a self-interested designer
Reference 8
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Learning Recommender Mechanisms for Bayesian Stochastic Games Awesome: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents
Reference 9
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Learning Recommender Mechanisms for Bayesian Stochastic Games Privacy and truthful equilibrium selection for aggregative games
Reference 10
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Observation ebff0efb-d7a1-42a7-810e-c959fd5ef6fd · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Differentiable economics for randomized affine maximizer auctions
Reference 11
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Observation 2c37e558-faa0-4942-a1e1-70923c30e5cb · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Optimal auctions through deep learning
Reference 12
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Learning Recommender Mechanisms for Bayesian Stochastic Games Game theory
Reference 13
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Observation 09e97297-61e3-4a96-b2a7-826e6a3d9114 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Addressing function approximation error in actor-critic methods, 2018
Reference 14
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Observation 83389e03-1618-4b1d-a717-764ef68058de · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Online mechanism design for electric vehicle charging
Reference 15
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Observation 548f31f4-f6a5-46e3-b80b-b30f0523315a · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Deep learning for multi-facility location mechanism design
Reference 16
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Observation 43a501f5-0203-48c9-90cb-1832a38a53ec · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Generative adversarial networks
Reference 17
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Observation 5c64643d-b0a0-4d1b-936a-b3aca53dacb2 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Automated online mechanism design and prophet inequalities
Reference 18
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Observation 9d62580e-acba-4eff-b08a-6a257bf1e7fe · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Multiagent reinforcement learning: theoretical framework and an algorithm
Reference 19
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Observation cae71230-54f6-4969-b573-d5958b0a0f33 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games A simple, fast, and safe mediator for congestion management
Reference 20
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Observation b6e833dd-c2b8-4478-a16c-f63779a37331 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Mediated multi-agent reinforcement learning
Reference 21
Source-reported events for the cited work
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Observation ee29bab5-8956-447e-bb37-e4eb3c695fe9 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Categorical reparameterization with gumbel-softmax, 2017
Reference 22
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Observation 1c1acbd6-c523-401b-bdb1-dde9c939baa1 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Mechanism design in large games: incentives and privacy
Reference 23
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Learning Recommender Mechanisms for Bayesian Stochastic Games Robust Mediators in Large Games
Reference 24
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Observation fb61b852-fc0e-4f70-aa5d-15249fc8fefb · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Zero tolerance for bias
Reference 25
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Observation a8495b01-4eca-41fc-bd4f-b8a80b1a8aa1 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games JAXRL: Implementations of Reinforcement Learning algorithms in JAX , 10 2021
Reference 26
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Learning Recommender Mechanisms for Bayesian Stochastic Games End-to-end training of deep visuomotor policies
Reference 27
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Observation f7a0f7b2-8ebd-463b-8dc8-212d17ad8621 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Continuous control with deep reinforcement learning
Reference 28
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Observation 6e59e418-adfd-4bcf-8623-8c489c6b4217 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Lillicrap, Jonathan J
Reference 29
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Observation 0e3b3c07-75c5-432d-aee6-2383da7ba4a6 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Multi-agent actor-critic for mixed cooperative-competitive environments
Reference 30
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Observation 6001c100-2149-4f19-ae27-e0ed1757848c · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Independent reinforcement learners in cooperative markov games: A survey regarding coordination problems
Reference 31
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Observation 9dbfc1a3-4e30-45a9-a373-0421f8af2bc7 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Congestion games with player-specific payoff functions
Reference 32
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Observation 103cc238-3e36-4697-9684-68dca1f41924 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Playing atari with deep reinforcement learning, 2013
Reference 33
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Learning Recommender Mechanisms for Bayesian Stochastic Games Strong mediated equilibrium
Reference 34
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Learning Recommender Mechanisms for Bayesian Stochastic Games Optimal coordination mechanisms in generalized principal--agent problems
Reference 35
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Learning Recommender Mechanisms for Bayesian Stochastic Games A Course in Game Theory
Reference 36
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Observation 5c75edac-177c-4c6c-91a3-f644a2c27bb3 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games An mdp-based approach to online mechanism design
Reference 37
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Observation bdd70126-a1a6-40e4-af35-0f1fac532143 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games New criteria and a new algorithm for learning in multi-agent systems
Reference 38
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Learning Recommender Mechanisms for Bayesian Stochastic Games Approximate mechanism design without money
Reference 39
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Observation ae70d220-8d88-467c-83e8-79119f026e6c · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Marketplaces, markets, and market design
Reference 40
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Observation af7768d7-5049-462c-8cfa-162b00d784d1 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Chapter 18: Routing games
Reference 41
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Learning Recommender Mechanisms for Bayesian Stochastic Games Perspectives on multiagent learning
Reference 42
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Observation 8c505629-a10c-4bca-95e1-c97dfb985da7 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Automated Mechanism Design via Neural Networks
Reference 43
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Observation 025902e0-b733-47d6-aab8-16298a1bd90d · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games If multi-agent learning is the answer, what is the question? Artificial intelligence, 171 0 (7): 0 365--377, 2007
Reference 44
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Observation 8843bd46-7ba8-402e-b477-39a8fd8507e5 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Leibo, Karl Tuyls, and Thore Graepel
Reference 45
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Observation a04e1fa4-1cf6-4e2b-ac41-ad355082369f · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Multiagent cooperation and competition with deep reinforcement learning, 2015
Reference 46
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Observation 4d060c08-384e-4bbb-9596-fd0c7f2db94c · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Multi-agent reinforcement learning: Independent versus cooperative agents
Reference 47
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Observation eb923dcf-66d1-45ef-8a26-323fbfb767a8 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Of mechanism design and multiagent planning
Reference 48
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Observation e867939d-2bc8-4507-8e2b-b57d5b86a925 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Empirical mechanism design: Methods, with application to a supply-chain scenario
Reference 49
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Observation 0249d090-2349-4596-a487-2c0bc525bac7 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Constrained automated mechanism design for infinite games of incomplete information
Reference 50
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Observation 4018268c-2166-4889-a85f-d0bb4b238f00 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games The handbook of market design
Reference 51
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Observation 7bbc123a-7acd-43b1-99ba-8073e8277243 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Deep contract design via discontinuous networks
Reference 52
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Observation 337ee67f-947c-476d-9bc7-90f8c6b6a273 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Polynomial-time optimal equilibria with a mediator in extensive-form games
Reference 53
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Learning Recommender Mechanisms for Bayesian Stochastic Games Computing optimal equilibria and mechanisms via learning in zero-sum extensive-form games
Reference 54
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Observation 425546ad-6e82-4831-ac5d-0e00d93e1054 · outbound
Learning Recommender Mechanisms for Bayesian Stochastic Games Automated dynamic mechanism design
Reference 55
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No inbound Pith citation observations are available.