Multi-Agent Reinforcement Learning via Agent-Specific Preference | Paper Citation Record

Observation 3af094d7-4ce1-4aea-844c-a39dc5b985b4 · outbound

This paper cites Distributed multiagent coordinated learning for autonomous driving in highways based on dynamic coordination graphs,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Distributed multiagent coordinated learning for autonomous driving in highways based on dynamic coordination graphs,

Reference 1

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Observation 8cd10382-4c85-45db-8a97-b414a458fa7d · outbound

This paper cites Beyond static populations: Efficient delay-constrained scheduling for dynamic users via deep reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Beyond static populations: Efficient delay-constrained scheduling for dynamic users via deep reinforcement learning,

Reference 2

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Observation 84b729e2-6981-4689-8fcc-f606dcad4ab1 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Dota 2 with Large Scale Deep Reinforcement Learning

Reference 3

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This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 4

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Observation d91d45e6-93c3-4e59-b7f8-1be87f64aef5 · outbound

This paper cites Value-decomposition networks for cooperative multi-agent learning based on team reward,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Value-decomposition networks for cooperative multi-agent learning based on team reward,

Reference 5

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Observation 19f60790-e190-4f43-9d4b-3a7c9c4c957b · outbound

This paper cites Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning,

Reference 6

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Observation 2519376a-93f8-4e40-8f62-148aa8849795 · outbound

This paper cites Beyond shallow behavior: Task-efficient value-based multi-task offline marl via skill discovery,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Beyond shallow behavior: Task-efficient value-based multi-task offline marl via skill discovery,

Reference 7

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Observation c71f5dc0-2a61-4241-a0a7-cb1c02f58d6c · outbound

This paper cites Reward learning from human preferences and demonstrations in atari,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Reward learning from human preferences and demonstrations in atari,

Reference 8

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Observation 286c746c-db69-420f-8113-3c9c16227677 · outbound

This paper cites Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsuper- vised pre-training,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Pebble: Feedback-efficient interactive reinforcement learning via relabeling experience and unsuper- vised pre-training,

Reference 9

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Observation 89ac83be-13c5-4498-903b-d5f98857b25a · outbound

This paper cites S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning,

Reference 10

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Observation 7f329cea-5943-40af-b280-b5c3902bb3e5 · outbound

This paper cites CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambigu- ous Queries,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambigu- ous Queries,

Reference 11

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Observation 92602b96-256a-4d30-8a97-7bf1908acc8c · outbound

This paper cites STAIR: Addressing stage misalignment through temporal-aligned preference reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference STAIR: Addressing stage misalignment through temporal-aligned preference reinforcement learning,

Reference 12

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Observation a6b65122-d2cf-410d-843f-4ce4352deed5 · outbound

This paper cites MAGPIE: Utilizing Agent-Specific Preferences for Multi-Agent Reinforcement Learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference MAGPIE: Utilizing Agent-Specific Preferences for Multi-Agent Reinforcement Learning,

Reference 13

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Observation 78293d41-b356-4e8c-aff9-f1a302f60518 · outbound

This paper cites Senior: Efficient query selection and preference-guided exploration in preference-based rein- forcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Senior: Efficient query selection and preference-guided exploration in preference-based rein- forcement learning,

Reference 14

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Observation 8fcfbad5-977a-4eab-8d80-074a0bdbe692 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Training language models to follow instructions with human feedback,

Reference 15

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Observation 1baf82a0-27b7-419c-b71e-6bbbb7ac8342 · outbound

This paper cites Preference-based Multi-Objective Reinforcement Learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Preference-based Multi-Objective Reinforcement Learning,

Reference 16

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Observation 32adde6a-ccb5-49e5-b8cb-e57f8486e132 · outbound

This paper cites COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space,

Reference 17

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Observation 50e544e2-8d1b-488a-adec-069260b18d2b · outbound

This paper cites Offline multi-agent preference-based reinforcement learning with agent-aware direct preference optimization,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Offline multi-agent preference-based reinforcement learning with agent-aware direct preference optimization,

Reference 18

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Observation aa0a22fc-1975-4cdf-a19f-d1ac2c8c3a10 · outbound

This paper cites O-MAPL: Offline multi- agent preference learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference O-MAPL: Offline multi- agent preference learning,

Reference 19

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Observation 4c097685-29d3-4959-9f1a-dd45e116419b · outbound

This paper cites Decoding global preferences: Tem- poral and cooperative dependency modeling in multi-agent preference- based reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Decoding global preferences: Tem- poral and cooperative dependency modeling in multi-agent preference- based reinforcement learning,

Reference 20

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Observation c12da3cf-cc42-460e-b52c-039311c79143 · outbound

This paper cites DPM: Dual preferences-based multi-agent reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference DPM: Dual preferences-based multi-agent reinforcement learning,

Reference 21

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Observation cd7c8ac9-fb25-4c05-b6a4-5ed466ed21be · outbound

This paper cites Multi-agent reinforcement learning from human feedback: Data coverage and algorithmic techniques,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Multi-agent reinforcement learning from human feedback: Data coverage and algorithmic techniques,

Reference 22

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Observation 9a875b21-3ef4-4c71-90d5-1a40993bf5db · outbound

This paper cites Mastering the game of go without human knowledge,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Mastering the game of go without human knowledge,

Reference 23

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Observation 69448ec0-32ba-477d-8031-c9ceaa81f02d · outbound

This paper cites Deep reinforcement learning for the control of robotic manipulation: a focussed mini-review,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Deep reinforcement learning for the control of robotic manipulation: a focussed mini-review,

Reference 24

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Observation e8ea2054-58d0-40cf-999c-0fd7eaea0ac8 · outbound

This paper cites Integrating Mechanism and Data: Reinforcement Learning Based on Multi-fidelity Model for Data Center Cooling Control,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Integrating Mechanism and Data: Reinforcement Learning Based on Multi-fidelity Model for Data Center Cooling Control,

Reference 25

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Observation 63e9da64-a45a-4f14-b412-a2ec9c8a03e2 · outbound

This paper cites Large-scale Data Center Cooling Control via Sample-efficient Reinforcement Learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Large-scale Data Center Cooling Control via Sample-efficient Reinforcement Learning,

Reference 26

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Observation 455e0aea-83a9-4856-a961-bda2efcd8ea3 · outbound

This paper cites E-mapp: Efficient Multi- Agent Reinforcement Learning with Parallel Program Guidance,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference E-mapp: Efficient Multi- Agent Reinforcement Learning with Parallel Program Guidance,

Reference 27

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Observation 5e5d5239-89e1-4d51-838d-79d943d84d02 · outbound

This paper cites From solo to symphony: Orchestrating multi-agent collaboration with single-agent demos,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference From solo to symphony: Orchestrating multi-agent collaboration with single-agent demos,

Reference 28

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Observation a48d4323-7fc4-4eb6-ab98-175952a2b5f7 · outbound

This paper cites GlobeDiff: State Diffusion Process for Partial Ob- servability in Multi-Agent Systems,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference GlobeDiff: State Diffusion Process for Partial Ob- servability in Multi-Agent Systems,

Reference 29

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Observation b6dbcd36-759c-4bc3-a562-1acb4a884737 · outbound

This paper cites Multi-agent reinforcement learning for resources allocation optimization: a survey,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Multi-agent reinforcement learning for resources allocation optimization: a survey,

Reference 30

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Observation b9601f21-9653-406d-b5ac-2eed6a9c5d6e · outbound

This paper cites A review of cooperative multiagent deep reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference A review of cooperative multiagent deep reinforcement learning,

Reference 31

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Observation 73380aa3-8e5a-4436-a6e5-465071410ecd · outbound

This paper cites Reinforcement learning with sparse rewards using guidance from offline demonstration,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Reinforcement learning with sparse rewards using guidance from offline demonstration,

Reference 32

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Observation 87a477fc-ae7c-42c3-9c30-63f5fe8fe6cc · outbound

This paper cites Reward function design in reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Reward function design in reinforcement learning,

Reference 33

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Observation 9e6e6999-c57b-4404-bbb5-07e52cf796d0 · outbound

This paper cites Liir: Learning indi- vidual intrinsic reward in multi-agent reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Liir: Learning indi- vidual intrinsic reward in multi-agent reinforcement learning,

Reference 34

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Observation 9b8c8573-55ce-4d36-89f8-84e7c55fcf1d · outbound

This paper cites Quality assessment of 3d human animation: Subjective and objective evaluation,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Quality assessment of 3d human animation: Subjective and objective evaluation,

Reference 35

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Observation 8f839c82-5b23-4326-b4d7-017f20882504 · outbound

This paper cites Deep reinforcement learning from human preferences,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Deep reinforcement learning from human preferences,

Reference 36

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This paper cites Preference-Based Multi-Objective Reinforcement Learning with Explicit Reward Modeling,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Preference-Based Multi-Objective Reinforcement Learning with Explicit Reward Modeling,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:19.287309Z

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Observation dbb60e09-a73f-4594-9b6d-4749e80a317b · outbound

This paper cites Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm

Reference 38

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Observation bcbf0b58-b3b3-4722-aeab-a4db5eebd672 · outbound

This paper cites A bayesian approach for policy learning from trajectory preference queries,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference A bayesian approach for policy learning from trajectory preference queries,

Reference 39

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Observation ee756fbc-34e2-4a60-8b66-8b7f10dff330 · outbound

This paper cites Convergence of q-learning: A simple proof,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Convergence of q-learning: A simple proof,

Reference 40

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Observation 26e99042-100d-4a8c-863e-52586cd6aa13 · outbound

This paper cites Decentralized multi-agent reinforcement learning: An off-policy method,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Decentralized multi-agent reinforcement learning: An off-policy method,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:19.098389Z

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Observation ca4f6545-5dc4-4165-8e14-aba295910844 · outbound

This paper cites An ocba-based method for efficient sample collection in reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference An ocba-based method for efficient sample collection in reinforcement learning,

Reference 42

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Observation 0d47f4ff-4521-408e-a44b-cafb28994727 · outbound

This paper cites Equilibrium points in n-person games,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Equilibrium points in n-person games,

Reference 43

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Observation de9c269f-a0ca-40cd-a4f1-846e3a380b07 · outbound

This paper cites Surf: Semi- supervised reward learning with data augmentation for feedback-efficient preference-based reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Surf: Semi- supervised reward learning with data augmentation for feedback-efficient preference-based reinforcement learning,

Reference 44

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This paper cites Rank analysis of incomplete block designs: I. the method of paired comparisons,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Rank analysis of incomplete block designs: I. the method of paired comparisons,

Reference 45

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Observation 98fb9612-b991-46bc-a7e9-db0ca9c575f7 · outbound

This paper cites Rademacher and gaussian complex- ities: Risk bounds and structural results,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Rademacher and gaussian complex- ities: Risk bounds and structural results,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:18.840876Z

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Observation c783cef6-1bb3-42c1-acbf-b3149e517db9 · outbound

This paper cites Emergence of Grounded Compositional Language in Multi-Agent Populations.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T04:36:17.671891Z

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Observation 62480f3e-fcb9-47fb-8794-effd0ae7a10a · outbound

This paper cites Multi- agent actor-critic for mixed cooperative-competitive environments,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Multi- agent actor-critic for mixed cooperative-competitive environments,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:18.785759Z

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Observation f13f5b2b-d5dd-45f6-96c3-8c0723c3a478 · outbound

This paper cites Balancing and scheduling of surface mount technology lines,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Balancing and scheduling of surface mount technology lines,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:18.695957Z

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Observation f36bf8b1-6198-4369-bdb4-3d275b6fd0e1 · outbound

This paper cites Flow shop scheduling prob- lems with assembly operations: a review and new trends,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Flow shop scheduling prob- lems with assembly operations: a review and new trends,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:18.611135Z

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Observation 562ce88a-aa78-40ea-9145-6753305ccc0a · outbound

This paper cites Modeling semiconductor testing job schedul- ing and dynamic testing machine configuration,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Modeling semiconductor testing job schedul- ing and dynamic testing machine configuration,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:18.529247Z

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Observation 3e5ec873-3062-46b0-ab6f-8975a7d77a97 · outbound

This paper cites Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics.

Multi-Agent Reinforcement Learning via Agent-Specific Preference Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Reference 52

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Observation 0c94c674-9dba-48e0-abb1-a0e0a538cd8b · outbound

This paper cites The o.d.e. method for convergence of stochastic approximation and reinforcement learning,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference The o.d.e. method for convergence of stochastic approximation and reinforcement learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:36:18.448334Z

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Observation 107f356d-9fc7-46d1-872b-29368bfd01c9 · outbound

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Multi-Agent Reinforcement Learning via Agent-Specific Preference Unresolved cited work

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Observation d9f12a40-c978-4c32-b782-58ebad53e6c0 · outbound

This paper cites A stochastic approximation method,.

Multi-Agent Reinforcement Learning via Agent-Specific Preference A stochastic approximation method,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T04:36:17.857891Z

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