Fairness in Reinforcement Learning with Bisimulation Metrics | Paper Citation Record

Observation b2557ea1-fc6b-40be-9b1a-9b8e67a7a19d · outbound

This paper cites write newline.

Fairness in Reinforcement Learning with Bisimulation Metrics write newline

Reference 1

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Observation d75cb631-1cd8-4203-9a06-0cd63955e2db · outbound

This paper cites Design and control of soft robots using differentiable simulation.

Fairness in Reinforcement Learning with Bisimulation Metrics Design and control of soft robots using differentiable simulation

Reference 2

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Observation 1140f803-5ca3-4136-8694-12e48b358db1 · outbound

This paper cites Fairness and machine learning: Limitations and opportunities.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness and machine learning: Limitations and opportunities

Reference 3

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Observation d92d77cc-4c89-4ba2-a3d1-f755143adf47 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Fairness in Reinforcement Learning with Bisimulation Metrics Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 4

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Observation 958b782e-6643-4718-842d-8fda2d1f8a2c · outbound

This paper cites My fair bandit: Distributed learning of max-min fairness with multi-player bandits.

Fairness in Reinforcement Learning with Bisimulation Metrics My fair bandit: Distributed learning of max-min fairness with multi-player bandits

Reference 5

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Fairness in Reinforcement Learning with Bisimulation Metrics Unresolved cited work

Reference 6

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Observation a016338f-dcd3-4ffa-9ac7-b5aecfb84d71 · outbound

This paper cites OpenAI Gym.

Fairness in Reinforcement Learning with Bisimulation Metrics OpenAI Gym

Reference 7

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Observation ed927710-a17e-4371-b44a-c2e08259c2d0 · outbound

This paper cites Scalable methods for computing state similarity in deterministic markov decision processes.

Fairness in Reinforcement Learning with Bisimulation Metrics Scalable methods for computing state similarity in deterministic markov decision processes

Reference 8

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Observation 77aa1244-33fe-4564-91bc-d374cabcef8f · outbound

This paper cites Scalable co-optimization of morphology and control in embodied machines.

Fairness in Reinforcement Learning with Bisimulation Metrics Scalable co-optimization of morphology and control in embodied machines

Reference 9

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Observation de2e77ea-19df-4bd5-b535-f52411e0b393 · outbound

This paper cites Heuristic-guided reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Heuristic-guided reinforcement learning

Reference 10

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Observation e21549f5-21a5-4006-ba2f-3fb9de7ec36b · outbound

This paper cites Intrinsically motivated reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Intrinsically motivated reinforcement learning

Reference 11

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Observation 3e64b078-22e1-4c98-ac77-9b6795fa1a19 · outbound

This paper cites On welfare-centric fair reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics On welfare-centric fair reinforcement learning

Reference 12

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Observation 018e90d6-d410-4237-a0ff-ad5a1d0622d5 · outbound

This paper cites Fairness is not static: deeper understanding of long term fairness via simulation studies.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness is not static: deeper understanding of long term fairness via simulation studies

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.428789Z

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Observation e17d4839-1240-42b8-bb31-575d68f51706 · outbound

This paper cites What hides behind unfairness? exploring dynamics fairness in reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics What hides behind unfairness? exploring dynamics fairness in reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.416730Z

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Observation e40f814f-0ff9-47e5-b51e-91c12749cf16 · outbound

This paper cites Desharnais, A.

Fairness in Reinforcement Learning with Bisimulation Metrics Desharnais, A

Reference 15

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Observation 68539439-689e-4d93-8302-327f375fb32a · outbound

This paper cites Dynamic potential-based reward shaping.

Fairness in Reinforcement Learning with Bisimulation Metrics Dynamic potential-based reward shaping

Reference 16

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Observation dfc113fb-f37c-4894-95bb-2eb286d7e179 · outbound

This paper cites Contextual bandits with concave rewards, and an application to fair ranking.

Fairness in Reinforcement Learning with Bisimulation Metrics Contextual bandits with concave rewards, and an application to fair ranking

Reference 17

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Observation 6015a5da-0876-4b24-8387-c15e90fe5665 · outbound

This paper cites On the analysis of the (1+ 1) evolutionary algorithm.

Fairness in Reinforcement Learning with Bisimulation Metrics On the analysis of the (1+ 1) evolutionary algorithm

Reference 18

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Observation a440ef3b-2204-4647-ade1-9342474773a2 · outbound

This paper cites Fairness through awareness.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness through awareness

Reference 19

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Observation d24e34fc-e44e-4707-a555-4105ea8f3381 · outbound

This paper cites Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics.

Fairness in Reinforcement Learning with Bisimulation Metrics Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.354290Z

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Observation c0f2d690-f4a4-4288-8536-557f9bb25d30 · outbound

This paper cites Fair lending implications of credit scoring systems.

Fairness in Reinforcement Learning with Bisimulation Metrics Fair lending implications of credit scoring systems

Reference 21

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Observation 45e30fdc-de03-4b4c-af91-ee7db85194ae · outbound

This paper cites Metrics for finite M arkov decision processes.

Fairness in Reinforcement Learning with Bisimulation Metrics Metrics for finite M arkov decision processes

Reference 22

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Observation 4298556d-ce92-44e1-b8ac-c7c767e4b4d0 · outbound

This paper cites Bisimulation metrics for continuous M arkov decision processes.

Fairness in Reinforcement Learning with Bisimulation Metrics Bisimulation metrics for continuous M arkov decision processes

Reference 23

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Observation 027d792f-2519-4a5b-a7b0-ff92f5d1955c · outbound

This paper cites Fair off-policy learning from observational data.

Fairness in Reinforcement Learning with Bisimulation Metrics Fair off-policy learning from observational data

Reference 24

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Observation 33a1f1b5-340e-45b6-898c-19c898d97b54 · outbound

This paper cites Potential based reward shaping for hierarchical reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Potential based reward shaping for hierarchical reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.301066Z

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Observation efff686f-9f30-4338-aa4d-f01c18bd424a · outbound

This paper cites Equivalence notions and model minimization in M arkov decision processes.

Fairness in Reinforcement Learning with Bisimulation Metrics Equivalence notions and model minimization in M arkov decision processes

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.290675Z

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Observation d5d8e10d-a046-4c28-85e7-263195f84c8f · outbound

This paper cites Bisimulation makes analogies in goal-conditioned reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Bisimulation makes analogies in goal-conditioned reinforcement learning

Reference 27

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Observation 6547bbba-f87e-43fa-9b07-b068d42f1a7b · outbound

This paper cites Strategic classification.

Fairness in Reinforcement Learning with Bisimulation Metrics Strategic classification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.273052Z

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This paper cites Equality of opportunity in supervised learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Equality of opportunity in supervised learning

Reference 29

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This paper cites Fair algorithms for multi-agent multi-armed bandits.

Fairness in Reinforcement Learning with Bisimulation Metrics Fair algorithms for multi-agent multi-armed bandits

Reference 30

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Observation ef851973-ec53-47eb-868d-0baaa048e5f0 · outbound

This paper cites Achieving long-term fairness in sequential decision making.

Fairness in Reinforcement Learning with Bisimulation Metrics Achieving long-term fairness in sequential decision making

Reference 31

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Observation f499aca9-5141-41b5-b1ca-3181cd72019a · outbound

This paper cites Striking a balance in fairness for dynamic systems through reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Striking a balance in fairness for dynamic systems through reinforcement learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.229383Z

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Observation 76555383-c82e-4a9f-aefc-482f616829df · outbound

This paper cites Chainqueen: A real-time differentiable physical simulator for soft robotics.

Fairness in Reinforcement Learning with Bisimulation Metrics Chainqueen: A real-time differentiable physical simulator for soft robotics

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.219037Z

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Observation 7255bab3-3bef-4825-a380-df08522d1918 · outbound

This paper cites Learning to utilize shaping rewards: A new approach of reward shaping.

Fairness in Reinforcement Learning with Bisimulation Metrics Learning to utilize shaping rewards: A new approach of reward shaping

Reference 34

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Fairness in Reinforcement Learning with Bisimulation Metrics Unresolved cited work

Reference 35

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This paper cites Fairness in reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness in reinforcement learning

Reference 36

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This paper cites Learning fairness in multi-agent systems.

Fairness in Reinforcement Learning with Bisimulation Metrics Learning fairness in multi-agent systems

Reference 37

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Observation f3e4f1ac-e558-41c6-951c-cbc01416d8df · outbound

This paper cites Fairness in learning: Classic and contextual bandits.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness in learning: Classic and contextual bandits

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.167654Z

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Observation 8eacde2d-cf0a-4a88-9d77-5dc8b05a3aa8 · outbound

This paper cites Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning

Reference 39

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Observation 563b420d-55f7-4ec3-8a68-ad70a67c57d5 · outbound

This paper cites Stochastic hillclimbing as a baseline method for evaluating genetic algorithms.

Fairness in Reinforcement Learning with Bisimulation Metrics Stochastic hillclimbing as a baseline method for evaluating genetic algorithms

Reference 40

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Observation acebd42a-7c64-41bb-8af5-cade291f5878 · outbound

This paper cites Towards robust bisimulation metric learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Towards robust bisimulation metric learning

Reference 41

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Observation 7f6c5455-b828-410c-be16-57942f3bd8b5 · outbound

This paper cites The long road to fairer algorithms.

Fairness in Reinforcement Learning with Bisimulation Metrics The long road to fairer algorithms

Reference 43

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Observation 2604f7b8-6b6e-4a8b-8cf5-474e457f3464 · outbound

This paper cites Larsen and Arne Skou.

Fairness in Reinforcement Learning with Bisimulation Metrics Larsen and Arne Skou

Reference 44

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This paper cites Delayed impact of fair machine learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Delayed impact of fair machine learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.128957Z

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Observation 672741c7-ca96-4c49-bdf5-2de0a428f434 · outbound

This paper cites Calibrated Fairness in Bandits.

Fairness in Reinforcement Learning with Bisimulation Metrics Calibrated Fairness in Bandits

Reference 46

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Observation db2aa9f0-fb47-4abf-86c2-0208746b6fb8 · outbound

This paper cites Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation.

Fairness in Reinforcement Learning with Bisimulation Metrics Diffaqua: A differentiable computational design pipeline for soft underwater swimmers with shape interpolation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.117929Z

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Observation cca406cb-314b-4baf-b432-62cb5f4153e4 · outbound

This paper cites Socially Fair Reinforcement Learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Socially Fair Reinforcement Learning

Reference 48

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This paper cites Comparison of three methods for selecting values of input variables in the analysis of output from a computer code.

Fairness in Reinforcement Learning with Bisimulation Metrics Comparison of three methods for selecting values of input variables in the analysis of output from a computer code

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.106687Z

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Observation 6582a8f3-68ff-46ae-a918-7f75afd33470 · outbound

This paper cites A survey on bias and fairness in machine learning.

Fairness in Reinforcement Learning with Bisimulation Metrics A survey on bias and fairness in machine learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.555064Z

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Observation f1d2312d-9652-4df2-888a-583b489866db · outbound

This paper cites Offline contextual bandits with high probability fairness guarantees.

Fairness in Reinforcement Learning with Bisimulation Metrics Offline contextual bandits with high probability fairness guarantees

Reference 51

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This paper cites The social cost of strategic classification.

Fairness in Reinforcement Learning with Bisimulation Metrics The social cost of strategic classification

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.083963Z

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Observation 9b18da54-cfb0-419d-9aee-ce878b9e3475 · outbound

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

Fairness in Reinforcement Learning with Bisimulation Metrics Human-level control through deep reinforcement learning

Reference 53

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Observation 2b72bd8f-d4be-47ed-a13c-ea00c34449a9 · outbound

This paper cites Learning optimal fair policies.

Fairness in Reinforcement Learning with Bisimulation Metrics Learning optimal fair policies

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.066073Z

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Observation b057f933-293e-4b24-b5f9-ca2669e7d8b8 · outbound

This paper cites Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.571641Z

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Observation 958d15ae-4d60-4f11-9a43-4abbf61f99cb · outbound

This paper cites Policy invariance under reward transformations: Theory and application to reward shaping.

Fairness in Reinforcement Learning with Bisimulation Metrics Policy invariance under reward transformations: Theory and application to reward shaping

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.054629Z

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Observation 12fa267c-7704-47b1-855f-340b1c63aa49 · outbound

This paper cites Labelled Markov Processes.

Fairness in Reinforcement Learning with Bisimulation Metrics Labelled Markov Processes

Reference 57

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This paper cites Discrimination-aware data mining.

Fairness in Reinforcement Learning with Bisimulation Metrics Discrimination-aware data mining

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.043060Z

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Observation 9c355279-28eb-4a24-a10f-d9db22404c35 · outbound

This paper cites Group fairness in reinforcement learning.

Fairness in Reinforcement Learning with Bisimulation Metrics Group fairness in reinforcement learning

Reference 59

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This paper cites Proximal Policy Optimization Algorithms.

Fairness in Reinforcement Learning with Bisimulation Metrics Proximal Policy Optimization Algorithms

Reference 60

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This paper cites Learning fair policies in multi-objective (deep) reinforcement learning with average and discounted rewards.

Fairness in Reinforcement Learning with Bisimulation Metrics Learning fair policies in multi-objective (deep) reinforcement learning with average and discounted rewards

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.020478Z

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This paper cites Intrinsically motivated reinforcement learning: An evolutionary perspective.

Fairness in Reinforcement Learning with Bisimulation Metrics Intrinsically motivated reinforcement learning: An evolutionary perspective

Reference 62

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This paper cites Reward design via online gradient ascent.

Fairness in Reinforcement Learning with Bisimulation Metrics Reward design via online gradient ascent

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:35.002760Z

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Observation c558dda3-d553-4a8c-be6d-f39219f12d20 · outbound

This paper cites Learning-in-the-loop optimization: End-to-end control and co-design of soft robots through learned deep latent representations.

Fairness in Reinforcement Learning with Bisimulation Metrics Learning-in-the-loop optimization: End-to-end control and co-design of soft robots through learned deep latent representations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.992298Z

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Observation d8b741b7-5580-4702-9931-be0d861e5167 · outbound

This paper cites Co-learning of task and sensor placement for soft robotics.

Fairness in Reinforcement Learning with Bisimulation Metrics Co-learning of task and sensor placement for soft robotics

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.982079Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d33876f-b009-424a-959c-4010447de562 · outbound

This paper cites Terry, Ariel Kwiatkowski, John U.

Fairness in Reinforcement Learning with Bisimulation Metrics Terry, Ariel Kwiatkowski, John U

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.607949Z

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This paper cites SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments.

Fairness in Reinforcement Learning with Bisimulation Metrics SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.611080Z

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Observation b0b87138-4e7a-4e60-a0e6-0a691051d6fd · outbound

This paper cites Curriculum-based co-design of morphology and control of voxel-based soft robots.

Fairness in Reinforcement Learning with Bisimulation Metrics Curriculum-based co-design of morphology and control of voxel-based soft robots

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.965107Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 607b0b26-0dde-4edf-ae08-a5305aeb46a3 · outbound

This paper cites Algorithms for fairness in sequential decision making.

Fairness in Reinforcement Learning with Bisimulation Metrics Algorithms for fairness in sequential decision making

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.953237Z

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Observation 6510edc4-28ee-47bd-8896-0459df7aa8ba · outbound

This paper cites Adapting static fairness to sequential decision-making: Bias mitigation strategies towards equal long-term benefit rate.

Fairness in Reinforcement Learning with Bisimulation Metrics Adapting static fairness to sequential decision-making: Bias mitigation strategies towards equal long-term benefit rate

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.940544Z

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Observation a2b32714-2611-49f8-822c-c8b7daa03403 · outbound

This paper cites Long-Term Fairness with Unknown Dynamics.

Fairness in Reinforcement Learning with Bisimulation Metrics Long-Term Fairness with Unknown Dynamics

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.624290Z

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This paper cites Policy optimization with advantage regularization for long-term fairness in decision systems.

Fairness in Reinforcement Learning with Bisimulation Metrics Policy optimization with advantage regularization for long-term fairness in decision systems

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.929988Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a84f241b-a6f1-49b9-b7d6-b709696d4a68 · outbound

This paper cites Fair deep reinforcement learning with preferential treatment.

Fairness in Reinforcement Learning with Bisimulation Metrics Fair deep reinforcement learning with preferential treatment

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.919358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abd1e39f-b157-41d4-a758-4c5b1c2eb8b6 · outbound

This paper cites Learning invariant representations for reinforcement learning without reconstruction.

Fairness in Reinforcement Learning with Bisimulation Metrics Learning invariant representations for reinforcement learning without reconstruction

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.908328Z

Source-reported events for the cited work

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Observation ad3fa569-d953-48a6-a905-30fb8193401f · outbound

This paper cites Fairness in multi-agent sequential decision-making.

Fairness in Reinforcement Learning with Bisimulation Metrics Fairness in multi-agent sequential decision-making

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:52:34.896991Z

Source-reported events for the cited work

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Observation c90900d6-863e-49d1-bce5-01313327e6c3 · outbound

This paper cites On learning intrinsic rewards for policy gradient methods.

Fairness in Reinforcement Learning with Bisimulation Metrics On learning intrinsic rewards for policy gradient methods

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.640910Z

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Observation e8f73d1e-b208-4498-8fe5-8cfa0dde2b89 · outbound

This paper cites @esa (Ref.

Fairness in Reinforcement Learning with Bisimulation Metrics @esa (Ref

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.644427Z

Source-reported events for the cited work

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Observation 2f189ba7-fa3f-4e7f-91cb-ba2aa11a04e7 · outbound

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Fairness in Reinforcement Learning with Bisimulation Metrics Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.648305Z

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Observation 3abb6f3d-097f-4f6c-83d1-180ffcfc1537 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Fairness in Reinforcement Learning with Bisimulation Metrics Adam: A Method for Stochastic Optimization

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T05:52:34.651783Z

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