Paper Citation Record · LEDGER

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations

As of 11 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2501.00160.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.00160 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

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measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:56:58.486176Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

verified exact10
verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c82d0212-b734-4ce6-8b5c-1de19bd6988e · outbound

This paper cites Sutton and Andrew G.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Sutton and Andrew G

Reference 1

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Observation ede5c600-0596-4f40-916d-c7d11cdb3cba · outbound

This paper cites Q-learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Q-learning

Reference 2

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Observation fb0ee503-4963-4f04-ab85-80a77ddcb118 · outbound

This paper cites A neural substrate of prediction and reward.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations A neural substrate of prediction and reward

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:39.060951Z

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Observation 2fe1db84-9e11-4071-a921-51e8eccedcf2 · outbound

This paper cites Reinforcement learning: the good, the bad and the ugly.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Reinforcement learning: the good, the bad and the ugly

Reference 4

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Observation 069be5b4-5c8c-4d98-8e7a-2872ba4acde2 · outbound

This paper cites Read Montague.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Read Montague

Reference 5

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Observation f5710a1e-1e26-4a50-a54d-1c7fcb1720a7 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Playing Atari with Deep Reinforcement Learning

Reference 6

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Observation 6d0e6ee3-847e-4b95-9d40-4f8a78af7e18 · outbound

This paper cites Human-level control through deep reinforcement learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Human-level control through deep reinforcement learning

Reference 7

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Observation 87b19751-182e-4e01-bd46-3be7295d6753 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Mastering the game of go with deep neural networks and tree search

Reference 8

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Observation 90890e8b-073a-4732-9a24-9a4103ab86fe · outbound

This paper cites Open Problems in Cooperative AI.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Open Problems in Cooperative AI

Reference 9

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Observation 2f41f710-0c76-4ef8-8854-f531335c1e30 · outbound

This paper cites Cooperative ai: machines must learn to find common ground, 2021.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Cooperative ai: machines must learn to find common ground, 2021

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:39.000806Z

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Observation d0490090-1490-4591-8b81-8c9391b46e1e · outbound

This paper cites Albrecht, Filippos Christianos, and Lukas Sch¨ afer.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Albrecht, Filippos Christianos, and Lukas Sch¨ afer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.985918Z

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Observation 66e493d2-750a-4f41-8a3f-b583ca55f98b · outbound

This paper cites Multi-agent reinforcement learning: independent vs.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Multi-agent reinforcement learning: independent vs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.971316Z

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Observation 074fdb90-989e-4979-9108-594560fbbae3 · outbound

This paper cites A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

Reference 13

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Observation 5927b641-37e8-4527-a776-0eb37471a74f · outbound

This paper cites Independent reinforcement learners in cooperative markov games: a survey regarding coordination problems.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Independent reinforcement learners in cooperative markov games: a survey regarding coordination problems

Reference 14

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Observation 888d0c23-4265-4fc3-9858-4795c1980cd8 · outbound

This paper cites A survey and critique of multiagent deep reinforcement learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations A survey and critique of multiagent deep reinforcement learning

Reference 15

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Observation 431129d0-3e96-4b6d-aeea-44cd422c9dfd · outbound

This paper cites Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 16

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Observation 0687e0cd-9be0-450a-bcb2-dda5084f9e2d · outbound

This paper cites Learning through reinforcement and replicator dynam- ics.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Learning through reinforcement and replicator dynam- ics

Reference 17

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Observation 755cd89e-5898-46fc-b5c3-189ffc5fdf46 · outbound

This paper cites A selection-mutation model for q-learning in multi-agent systems.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations A selection-mutation model for q-learning in multi-agent systems

Reference 18

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Observation e0a297b2-13ba-4172-a790-f3315cba42ae · outbound

This paper cites Doyne Farmer.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Doyne Farmer

Reference 19

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Observation 05adf438-9b55-4cb9-8e4a-8826f82021a7 · outbound

This paper cites Crutchfield.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Crutchfield

Reference 20

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Observation 608361af-33bd-4ec0-ab50-0325dfeb9be6 · outbound

This paper cites Crutchfield.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Crutchfield

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.910090Z

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Observation 818a8dbe-0bb5-4302-9f5a-d6726841646b · outbound

This paper cites Individual q-learning in normal form games.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Individual q-learning in normal form games

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.894600Z

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Observation 7c5e8bd7-72b2-4ec2-b3fb-f4fd290f5608 · outbound

This paper cites Reinforcement learning dynamics in social dilemmas.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Reinforcement learning dynamics in social dilemmas

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.881520Z

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Observation eb3d957f-51e8-4d4a-88f3-1209bb6600f9 · outbound

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Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Learning and equilibrium

Reference 24

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Observation 53a100fc-dd1d-4a89-8e68-6773734a60c6 · outbound

This paper cites Intrinsic noise in game dynamical learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Intrinsic noise in game dynamical learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.851549Z

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Observation 66a06a5b-048b-4f66-a589-3eb444863253 · outbound

This paper cites A theoretical analysis of temporal difference learning in the iterated prisoner’s dilemma game.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations A theoretical analysis of temporal difference learning in the iterated prisoner’s dilemma game

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.835719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d596418a-fa44-4095-b7e4-b2ac82b9d517 · outbound

This paper cites Classes of multiagent q-learning dynamics with epsilon-greedy exploration.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Classes of multiagent q-learning dynamics with epsilon-greedy exploration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.820001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1b6a395-0b89-4a1e-bb55-6b32f1bdfa33 · outbound

This paper cites Numerical analysis of a reinforcement learning model with the dynamic aspiration level in the iterated prisoner’s dilemma.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Numerical analysis of a reinforcement learning model with the dynamic aspiration level in the iterated prisoner’s dilemma

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.805147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7dbba3b5-f465-4bde-8d67-01301685e1b5 · outbound

This paper cites Cycles of cooperation and defection in imperfect learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Cycles of cooperation and defection in imperfect learning

Reference 29

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This paper cites Dynamics of boltzmann q learning in two-player two-action games.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Dynamics of boltzmann q learning in two-player two-action games

Reference 30

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Observation 6c92b88c-3c2f-4dde-9e7b-347a99363090 · outbound

This paper cites Continuous strategy replicator dynamics for multi-agent q-learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Continuous strategy replicator dynamics for multi-agent q-learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.790443Z

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Observation c6866ed2-8ffd-48fc-b9ab-ea5b82e58334 · outbound

This paper cites Doyne Farmer.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Doyne Farmer

Reference 32

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This paper cites Evolutionary dynamics of multi-agent learning: A survey.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Evolutionary dynamics of multi-agent learning: A survey

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.776330Z

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Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Unresolved cited work

Reference 34

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This paper cites Donges, and J¨ urgen Kurths.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Donges, and J¨ urgen Kurths

Reference 35

Resolution: verified exact; doi, observed 2026-08-10T23:04:37.830920Z

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Observation bc80f7e8-be7f-49e0-80b8-70a8c21ad044 · outbound

This paper cites Modelling the dynamics of multiagent q-learning in repeated symmetric games: a mean field theoretic approach.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Modelling the dynamics of multiagent q-learning in repeated symmetric games: a mean field theoretic approach

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.762892Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d170359c-ecde-4b7a-b828-3f5ba27c1ee3 · outbound

This paper cites Dynamical systems as a level of cognitive analysis of multi-agent learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Dynamical systems as a level of cognitive analysis of multi-agent learning

Reference 37

Resolution: verified exact; doi, observed 2026-08-10T23:04:37.816019Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d5c323d6-1f11-4456-b750-81e19428dd89 · outbound

This paper cites The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model

Reference 38

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Observation 464b5458-f6ed-43d9-a852-0e76a6dc80f2 · outbound

This paper cites A formal model for multiagent q-learning dynamics on regular graphs.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations A formal model for multiagent q-learning dynamics on regular graphs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.748897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 83891b36-205b-4e5b-8b72-46159c69cfd1 · outbound

This paper cites Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.734983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae5d1519-d53c-4637-a811-f02ce349dffd · outbound

This paper cites Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.718840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b204136b-54d9-4b1b-bf93-c084026b2a45 · outbound

This paper cites Frequency adjusted multi-agent q-learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Frequency adjusted multi-agent q-learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.703830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dde5802c-95a4-4165-9a28-757e77cfda30 · outbound

This paper cites Evolutionary Multi-agent Reinforcement Learning in Group Social Dilemmas.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Evolutionary Multi-agent Reinforcement Learning in Group Social Dilemmas

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:04:38.157481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 007617c1-8e8b-4f8c-ab5a-06becd7747ec · outbound

This paper cites Sandholm and Robert H.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Sandholm and Robert H

Reference 44

Resolution: verified exact; raw_fallback, observed 2026-08-10T23:04:38.136190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba7a4dca-6d42-4315-b8ab-b6ca5c79b24e · outbound

This paper cites Faq-learning in matrix games: Demonstrating convergence near nash equilibria, and bifurcation of attractors in the battle of sexes.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Faq-learning in matrix games: Demonstrating convergence near nash equilibria, and bifurcation of attractors in the battle of sexes

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.689075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cf2886f0-3d29-4440-84c1-78048f471843 · outbound

This paper cites L´ evy noise promotes cooperation in the prisoner’s dilemma game with reinforcement learning.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations L´ evy noise promotes cooperation in the prisoner’s dilemma game with reinforcement learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.673951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da0760aa-9940-4be1-b097-a0450dcfaa2c · outbound

This paper cites Limiting dynamics for q-learning with memory one in symmetric two-player, two-action games.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Limiting dynamics for q-learning with memory one in symmetric two-player, two-action games

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.658704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c497bf0-d8f4-45a3-b1dd-2ed07bd7b9fc · outbound

This paper cites Q-learners can provably collude in the iterated prisoner’s dilemma.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Q-learners can provably collude in the iterated prisoner’s dilemma

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-10T23:04:38.040057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87679894-bb4d-4df0-be0a-d0ff9041c445 · outbound

This paper cites Symmetric equilibrium of multi-agent reinforcement learning in repeated prisoner’s dilemma.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Symmetric equilibrium of multi-agent reinforcement learning in repeated prisoner’s dilemma

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.643861Z

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Observation 7f307846-458d-4acd-9eab-b0e27043a061 · outbound

This paper cites Q-learning in two-player two-action games.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Q-learning in two-player two-action games

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.627730Z

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Observation af5294dc-6586-4fa4-bb30-47d8b12cac0a · outbound

This paper cites Melioration learning in iterated public goods games: The impact of exploratory noise.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Melioration learning in iterated public goods games: The impact of exploratory noise

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.612357Z

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Observation 6dcea1a7-2004-4da3-8d4d-1e2f3c91b413 · outbound

This paper cites Rein- forcement learning and decision making in monkeys during a competitive game.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Rein- forcement learning and decision making in monkeys during a competitive game

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.595972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b524ab3f-a1ab-4c81-a39a-8e307a7893e1 · outbound

This paper cites Valuation of uncertain and delayed rewards in primate prefrontal cortex.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Valuation of uncertain and delayed rewards in primate prefrontal cortex

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.578784Z

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Observation b408edeb-f28f-4075-a9c9-697d34c90c7e · outbound

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Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Unresolved cited work

Reference 54

Resolution: verified exact; doi, observed 2026-08-10T23:04:37.798611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4420efb1-5bf7-463b-983d-58b89ed118c1 · outbound

This paper cites Batch Reinforcement Learning, pages 45–73.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Batch Reinforcement Learning, pages 45–73

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T23:04:37.730146Z

Source-reported events for the cited work

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Observation d390adb9-6282-47e6-955c-0976dca97129 · outbound

This paper cites Quantal response equilibria for normal form games.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Quantal response equilibria for normal form games

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.564275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b01182b5-d586-484e-8dfb-5fefa770ff00 · outbound

This paper cites High-stakes failures of backward induction.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations High-stakes failures of backward induction

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.549040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00597c54-f9fb-4af8-8538-a57afa102217 · outbound

This paper cites Timing of transients: quantifying reaching times and transient behavior in complex systems.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Timing of transients: quantifying reaching times and transient behavior in complex systems

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:38.533809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 334dd36e-5558-4080-b6d5-f283cc63ff50 · outbound

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Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:04:38.517277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f480cf6d-f0b7-465a-b8ee-bc4823072742 · outbound

This paper cites ISBN 1581136838.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations ISBN 1581136838

Reference 2003

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T23:04:38.269857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 302cb385-d681-445d-a95a-a63c593f0215 · outbound

This paper cites URL https://link.aps.org/doi/10.1103/ PhysRevLett.103.198702.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations URL https://link.aps.org/doi/10.1103/ PhysRevLett.103.198702

Reference 2009

Resolution: verified exact; doi, observed 2026-08-10T23:04:37.889657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 56916ade-5a51-445c-a2c6-1b176da410fa · outbound

This paper cites URL http://dx.doi.org/10.1016/j.physd.2005.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations URL http://dx.doi.org/10.1016/j.physd.2005

Reference 2789

Resolution: verified exact; doi, observed 2026-08-10T23:04:37.903873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation f8fcddfd-3b42-4b8a-b4e6-acceba4a25ad · inbound

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning cites this paper.

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations

Reference 23

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Unavailable: canonical work link unavailable.