Market Making Strategies with Reinforcement Learning | Paper Citation Record

Observation 7bd9c669-9c52-422a-956e-0c1e292cba2c · outbound

This paper cites Electronic trading in financial markets,.

Market Making Strategies with Reinforcement Learning Electronic trading in financial markets,

Reference 1

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Observation 7200f1bb-1ecf-46cd-9bc8-b0bf9fb840e3 · outbound

This paper cites A simple approach to arbitrage pricing theory,.

Market Making Strategies with Reinforcement Learning A simple approach to arbitrage pricing theory,

Reference 2

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Observation 39690ad1-3558-4aa9-9a8c-ed01a020f119 · outbound

This paper cites High-frequency trading,.

Market Making Strategies with Reinforcement Learning High-frequency trading,

Reference 3

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Observation 60353f80-d4e2-4080-864d-b7d24f3b1466 · outbound

This paper cites Market making and mean reversion,.

Market Making Strategies with Reinforcement Learning Market making and mean reversion,

Reference 4

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This paper cites market makers,https : / / web.

Market Making Strategies with Reinforcement Learning market makers,https : / / web

Reference 5

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This paper cites alphatrade.

Market Making Strategies with Reinforcement Learning alphatrade

Reference 6

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This paper cites Information effects on the bid-ask spread,.

Market Making Strategies with Reinforcement Learning Information effects on the bid-ask spread,

Reference 7

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This paper cites an unresolved cited work.

Market Making Strategies with Reinforcement Learning Unresolved cited work

Reference 8

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Observation 5536be8c-f19b-4687-a966-1ce2e4f925ef · outbound

This paper cites Can alphago be apt subjects for praise/blame for.

Market Making Strategies with Reinforcement Learning Can alphago be apt subjects for praise/blame for

Reference 9

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Observation 89d6acd3-1b74-4e00-99aa-6b1a7a066f33 · outbound

This paper cites Learning from delayed rewards,.

Market Making Strategies with Reinforcement Learning Learning from delayed rewards,

Reference 10

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Observation 59abfe7c-f0fe-4547-b273-3219f0c6b1f7 · outbound

This paper cites Revisiting fundamentals of experience replay,.

Market Making Strategies with Reinforcement Learning Revisiting fundamentals of experience replay,

Reference 11

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Observation 616c3877-afa2-428c-b422-103fcc6fda1f · outbound

This paper cites Peeking inside the black-box: A survey on explainable artificial intelligence (xai),.

Market Making Strategies with Reinforcement Learning Peeking inside the black-box: A survey on explainable artificial intelligence (xai),

Reference 12

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Observation 6be03edc-218c-4e81-9a0b-655242eb1af0 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning,.

Market Making Strategies with Reinforcement Learning Simple statistical gradient-following algorithms for connectionist reinforcement learning,

Reference 13

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Observation cbd6b88d-c2ab-4cbc-ac48-834db0891f3a · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Market Making Strategies with Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 14

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Observation b5ab94a3-b8d9-431f-8bdc-83a7e4f5c1ca · outbound

This paper cites Proximal Policy Optimization Algorithms.

Market Making Strategies with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 15

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Observation 4829c622-c7ac-4876-992b-13e45ddb8169 · outbound

This paper cites A survey of monte carlo tree search methods,.

Market Making Strategies with Reinforcement Learning A survey of monte carlo tree search methods,

Reference 16

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Observation c832dacb-f573-4b61-8f45-7669a4bd515e · outbound

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

Market Making Strategies with Reinforcement Learning Human-level control through deep reinforcement learning,

Reference 17

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Observation ca5d9dbb-e83f-42c6-ae0b-ba57a8820942 · outbound

This paper cites A survey of multi- objective sequential decision-making,.

Market Making Strategies with Reinforcement Learning A survey of multi- objective sequential decision-making,

Reference 18

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This paper cites Jin,Multi-objective machine learning.

Market Making Strategies with Reinforcement Learning Jin,Multi-objective machine learning

Reference 19

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This paper cites Multi-objective optimization,.

Market Making Strategies with Reinforcement Learning Multi-objective optimization,

Reference 20

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This paper cites A multi-objective deep reinforcement learning framework,.

Market Making Strategies with Reinforcement Learning A multi-objective deep reinforcement learning framework,

Reference 21

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Observation b85423e8-9402-4e69-880f-7b8b081cd474 · outbound

This paper cites Multi-objective reinforcement learning using sets of pareto dominating policies,.

Market Making Strategies with Reinforcement Learning Multi-objective reinforcement learning using sets of pareto dominating policies,

Reference 22

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Observation ad03bbd7-5cbe-46a1-a9fd-a043e41dd9a4 · outbound

This paper cites A practical guide to multi-objective reinforcement learning and planning,.

Market Making Strategies with Reinforcement Learning A practical guide to multi-objective reinforcement learning and planning,

Reference 23

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This paper cites Reinforcement learning and the reward engineering principle,.

Market Making Strategies with Reinforcement Learning Reinforcement learning and the reward engineering principle,

Reference 24

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This paper cites Reward function design in reinforcement learning,.

Market Making Strategies with Reinforcement Learning Reward function design in reinforcement learning,

Reference 25

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Observation 5bdc91e6-ec34-4bb2-8493-9a049d4a4bee · outbound

This paper cites Scalar reward is not enough: A response to silver, singh, pre- cup and sutton (2021),.

Market Making Strategies with Reinforcement Learning Scalar reward is not enough: A response to silver, singh, pre- cup and sutton (2021),

Reference 26

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This paper cites Incremental rein- forcement learning for multi-objective robotic tasks,.

Market Making Strategies with Reinforcement Learning Incremental rein- forcement learning for multi-objective robotic tasks,

Reference 27

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This paper cites A dynamic penalty function approach for constraint-handling in reinforcement learning,.

Market Making Strategies with Reinforcement Learning A dynamic penalty function approach for constraint-handling in reinforcement learning,

Reference 28

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Observation 6e1efc19-abb1-4c39-b63c-1d2936d505c1 · outbound

This paper cites A study of multiple reward function performances for vehicle collision avoidance systems applying the dqn algorithm in reinforcement learning,.

Market Making Strategies with Reinforcement Learning A study of multiple reward function performances for vehicle collision avoidance systems applying the dqn algorithm in reinforcement learning,

Reference 29

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Observation 929987b0-8659-4b0a-8dcd-7c579bff1218 · outbound

This paper cites Learning adversarial attack policies through multi-objective reinforcement learning,.

Market Making Strategies with Reinforcement Learning Learning adversarial attack policies through multi-objective reinforcement learning,

Reference 30

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This paper cites Pareto multi objective optimization,.

Market Making Strategies with Reinforcement Learning Pareto multi objective optimization,

Reference 31

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This paper cites An evolutionary multi-objective optimization of market structures using pbil,.

Market Making Strategies with Reinforcement Learning An evolutionary multi-objective optimization of market structures using pbil,

Reference 32

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Observation 11523267-d698-447b-a115-293fb3f32e39 · outbound

This paper cites Pareto multi objective optimization,.

Market Making Strategies with Reinforcement Learning Pareto multi objective optimization,

Reference 33

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Observation bb9d79be-a523-4659-92b1-70164b58813e · outbound

This paper cites Sampling reference points on the pareto fronts of benchmark multi-objective optimization problems,.

Market Making Strategies with Reinforcement Learning Sampling reference points on the pareto fronts of benchmark multi-objective optimization problems,

Reference 34

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This paper cites An easy-to-use real-world multi-objective opti- mization problem suite,.

Market Making Strategies with Reinforcement Learning An easy-to-use real-world multi-objective opti- mization problem suite,

Reference 35

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This paper cites A survey of reinforcement learning algorithms for dynamically varying environments,.

Market Making Strategies with Reinforcement Learning A survey of reinforcement learning algorithms for dynamically varying environments,

Reference 36

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This paper cites Addressing environment non-stationarity by repeat- ing q-learning updates,.

Market Making Strategies with Reinforcement Learning Addressing environment non-stationarity by repeat- ing q-learning updates,

Reference 37

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Observation f5397d2d-20aa-4f5b-b8c7-42bd6b7f689b · outbound

This paper cites Recursive adaptation of stepsize parameter for non-stationary environ- ments,.

Market Making Strategies with Reinforcement Learning Recursive adaptation of stepsize parameter for non-stationary environ- ments,

Reference 38

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This paper cites Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming,.

Market Making Strategies with Reinforcement Learning Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming,

Reference 39

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This paper cites Adaptive stock trad- ing strategies with deep reinforcement learning methods,.

Market Making Strategies with Reinforcement Learning Adaptive stock trad- ing strategies with deep reinforcement learning methods,

Reference 40

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Observation 2283d741-2e2e-4844-b511-d1055afcd856 · outbound

This paper cites Sequential decision-making under non- stationary environments via sequential change-point detection,.

Market Making Strategies with Reinforcement Learning Sequential decision-making under non- stationary environments via sequential change-point detection,

Reference 42

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This paper cites Hidden-mode markov decision processes for nonstationary sequential decision making,.

Market Making Strategies with Reinforcement Learning Hidden-mode markov decision processes for nonstationary sequential decision making,

Reference 43

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This paper cites Reinforcement Learning in Non-Stationary Environments.

Market Making Strategies with Reinforcement Learning Reinforcement Learning in Non-Stationary Environments

Reference 44

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This paper cites Change point de- tection for compositional multivariate data,.

Market Making Strategies with Reinforcement Learning Change point de- tection for compositional multivariate data,

Reference 45

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This paper cites A continual learning survey: Defying forgetting in classifica- tion tasks,.

Market Making Strategies with Reinforcement Learning A continual learning survey: Defying forgetting in classifica- tion tasks,

Reference 46

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This paper cites Continual learning and catastrophic forgetting,.

Market Making Strategies with Reinforcement Learning Continual learning and catastrophic forgetting,

Reference 47

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This paper cites Catastrophic forgetting in connectionist networks,.

Market Making Strategies with Reinforcement Learning Catastrophic forgetting in connectionist networks,

Reference 48

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This paper cites Selective freezing for efficient continual learning,.

Market Making Strategies with Reinforcement Learning Selective freezing for efficient continual learning,

Reference 49

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This paper cites Catastrophic forgetting, rehearsal and pseudorehearsal,.

Market Making Strategies with Reinforcement Learning Catastrophic forgetting, rehearsal and pseudorehearsal,

Reference 50

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Observation f5fbe32d-2a52-4a7c-9d0f-004fee45fbc9 · outbound

This paper cites Rethinking experience replay: A bag of tricks for continual learning,.

Market Making Strategies with Reinforcement Learning Rethinking experience replay: A bag of tricks for continual learning,

Reference 51

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This paper cites Pseudo-rehearsal: Achiev- ing deep reinforcement learning without catastrophic forgetting,.

Market Making Strategies with Reinforcement Learning Pseudo-rehearsal: Achiev- ing deep reinforcement learning without catastrophic forgetting,

Reference 52

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This paper cites Overcoming catastrophic forgetting in neural networks,.

Market Making Strategies with Reinforcement Learning Overcoming catastrophic forgetting in neural networks,

Reference 53

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Observation dc37747a-f2b2-45b6-b2c3-53373ee9b691 · outbound

This paper cites Order-book modelling and market making strategies,.

Market Making Strategies with Reinforcement Learning Order-book modelling and market making strategies,

Reference 54

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This paper cites Stationarity and nonstationarity in time series analysis,.

Market Making Strategies with Reinforcement Learning Stationarity and nonstationarity in time series analysis,

Reference 55

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This paper cites Nonstationarity of efficient finance markets: Fx market evolution from stability to instability,.

Market Making Strategies with Reinforcement Learning Nonstationarity of efficient finance markets: Fx market evolution from stability to instability,

Reference 56

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Observation 7bf986d1-23c3-4e1f-966a-177f6ed0ed3a · outbound

This paper cites Non stationarity and market structure dynamics in financial time series,.

Market Making Strategies with Reinforcement Learning Non stationarity and market structure dynamics in financial time series,

Reference 57

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Observation 86c3c4d0-f4d8-41fc-9801-0dae1a0b7ab6 · outbound

This paper cites Non-stationarity in finan- cial time series: Generic features and tail behavior,.

Market Making Strategies with Reinforcement Learning Non-stationarity in finan- cial time series: Generic features and tail behavior,

Reference 58

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Observation f415f9e6-0214-44ce-a4ba-f6313e5d2f65 · outbound

This paper cites After-hours trading of nyse stocks on the regional stock exchanges,.

Market Making Strategies with Reinforcement Learning After-hours trading of nyse stocks on the regional stock exchanges,

Reference 59

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Observation 7c3047b8-74ba-4945-b2e0-444af853fabc · outbound

This paper cites Information sources, news, and rumors in fi- nancial markets: Insights into the foreign exchange market,.

Market Making Strategies with Reinforcement Learning Information sources, news, and rumors in fi- nancial markets: Insights into the foreign exchange market,

Reference 60

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Observation 5235c7f0-3525-4764-9552-3f5bc9a4d803 · outbound

This paper cites Intraday news trading: The recipro- cal relationships between the stock market and economic news,.

Market Making Strategies with Reinforcement Learning Intraday news trading: The recipro- cal relationships between the stock market and economic news,

Reference 61

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Observation 389fe434-c96f-45ee-96e7-44e091ae7081 · outbound

This paper cites High-frequency trading in a limit order book,.

Market Making Strategies with Reinforcement Learning High-frequency trading in a limit order book,

Reference 62

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Observation 86a8e6b8-7a60-40fc-8b81-d18647d62e65 · outbound

This paper cites Optimal dealer pricing under transactions and return un- certainty,.

Market Making Strategies with Reinforcement Learning Optimal dealer pricing under transactions and return un- certainty,

Reference 63

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This paper cites Dealing with the inventory risk. a solution to the market making problem,.

Market Making Strategies with Reinforcement Learning Dealing with the inventory risk. a solution to the market making problem,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.545326Z

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Observation 627f14e2-b2b4-4e57-bdf1-6b62bced61d1 · outbound

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Market Making Strategies with Reinforcement Learning Optimal market making,

Reference 65

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Observation e5e371d0-40b9-4d6d-93a9-d8c2e5ca02d3 · outbound

This paper cites High frequency market making: Implications for liquidity,.

Market Making Strategies with Reinforcement Learning High frequency market making: Implications for liquidity,

Reference 66

Resolution: verified exact; doi, observed 2026-08-15T18:15:10.126904Z

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Observation fc98368b-f5c0-4d51-bd0c-111bf83cacf1 · outbound

This paper cites An intelligent market making strategy in algorithmic trading,.

Market Making Strategies with Reinforcement Learning An intelligent market making strategy in algorithmic trading,

Reference 67

Resolution: verified exact; doi, observed 2026-08-15T18:15:10.102840Z

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Observation 80084dfa-9c5e-4513-b24c-2cf016ae74cb · outbound

This paper cites High frequency market making with machine learning,.

Market Making Strategies with Reinforcement Learning High frequency market making with machine learning,

Reference 68

Resolution: verified exact; doi, observed 2026-08-15T18:15:10.071994Z

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Observation 1efbafcf-0c38-476a-a5b1-8bdfcd6827a7 · outbound

This paper cites An electronic market-maker,.

Market Making Strategies with Reinforcement Learning An electronic market-maker,

Reference 69

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This paper cites Optimizing Market Making using Multi-Agent Reinforcement Learning.

Market Making Strategies with Reinforcement Learning Optimizing Market Making using Multi-Agent Reinforcement Learning

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:15:11.762694Z

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Observation a70eaf0c-367f-4c24-b9db-38a8497a28f3 · outbound

This paper cites Market Making via Reinforcement Learning.

Market Making Strategies with Reinforcement Learning Market Making via Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.578047Z

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Observation 8bdddf0e-6f22-459d-9fc2-caa936dfbda7 · outbound

This paper cites Reinforcement learning ap- proach for market-maker problem solution,.

Market Making Strategies with Reinforcement Learning Reinforcement learning ap- proach for market-maker problem solution,

Reference 72

Resolution: verified exact; doi, observed 2026-08-15T18:15:10.052380Z

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This paper cites The agent-based simulation of inventory-based model’s impact on market maker trading mechanism,.

Market Making Strategies with Reinforcement Learning The agent-based simulation of inventory-based model’s impact on market maker trading mechanism,

Reference 73

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T18:15:11.727187Z

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Observation 071f379c-0b49-4b11-9645-54fbb510601f · outbound

This paper cites ABIDES: Towards High-Fidelity Market Simulation for AI Research.

Market Making Strategies with Reinforcement Learning ABIDES: Towards High-Fidelity Market Simulation for AI Research

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.597659Z

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Market Making Strategies with Reinforcement Learning Data-driven market-making via model- free learning,

Reference 76

Resolution: verified exact; doi, observed 2026-08-15T18:15:10.036050Z

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This paper cites Optimal market making by reinforcement learning,.

Market Making Strategies with Reinforcement Learning Optimal market making by reinforcement learning,

Reference 77

Resolution: verified exact; doi, observed 2026-08-15T18:15:10.015990Z

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Observation a86915ab-3554-4cb9-b5ea-e6869393fa42 · outbound

This paper cites Market making with signals through deep re- inforcement learning,.

Market Making Strategies with Reinforcement Learning Market making with signals through deep re- inforcement learning,

Reference 78

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T18:15:11.613535Z

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Observation 19fa530b-2579-4272-b6b9-f1bbf09a1400 · outbound

This paper cites Lim and D.

Market Making Strategies with Reinforcement Learning Lim and D

Reference 79

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This paper cites Reinforcement learning for optimal market making with the presence of rebate,.

Market Making Strategies with Reinforcement Learning Reinforcement learning for optimal market making with the presence of rebate,

Reference 80

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Market Making Strategies with Reinforcement Learning Applications of reinforcement learning in automated market-making,

Reference 81

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Observation 6a94f0c0-58f6-4160-84cf-a0215c01dc00 · outbound

This paper cites Sim-to-real trans- fer of robotic control with dynamics randomization,.

Market Making Strategies with Reinforcement Learning Sim-to-real trans- fer of robotic control with dynamics randomization,

Reference 82

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Observation 9fce7b54-0de8-4672-9784-018e95ba71f0 · outbound

This paper cites Sim2real in robotics and automation: Applications and chal- lenges,.

Market Making Strategies with Reinforcement Learning Sim2real in robotics and automation: Applications and chal- lenges,

Reference 83

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Observation 6c1190c3-c5fb-4985-987b-58d5e0dc5c9b · outbound

This paper cites Abides- gym: Gym environments for multi-agent discrete event simulation and application to financial markets,.

Market Making Strategies with Reinforcement Learning Abides- gym: Gym environments for multi-agent discrete event simulation and application to financial markets,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.640928Z

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Observation c448b84f-4f3d-4bfd-8d23-d2adf860d588 · outbound

This paper cites Improving generalization in reinforcement learning–based trading by using a generative adversarial market model,.

Market Making Strategies with Reinforcement Learning Improving generalization in reinforcement learning–based trading by using a generative adversarial market model,

Reference 86

Resolution: malformed identifier; no resolver link, observed 2026-08-15T18:15:09.650481Z

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Observation f3541021-2ae4-43c3-9d4e-3ed0c33ead3b · outbound

This paper cites Deep learning for market by order data,.

Market Making Strategies with Reinforcement Learning Deep learning for market by order data,

Reference 87

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T18:15:11.249909Z

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Observation 04e544b4-9b43-49c9-b0e6-1d4aaef47a47 · outbound

This paper cites Reinforcement Learning for Market Making in a Multi-agent Dealer Market.

Market Making Strategies with Reinforcement Learning Reinforcement Learning for Market Making in a Multi-agent Dealer Market

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.660057Z

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Observation 03a1978e-2d7b-469d-96bc-5a672ccbc8d7 · outbound

This paper cites Empirical eval- uation methods for multiobjective reinforcement learning algorithms,.

Market Making Strategies with Reinforcement Learning Empirical eval- uation methods for multiobjective reinforcement learning algorithms,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.665340Z

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Observation 80b146c7-4583-4de6-aa87-51c4c1719541 · outbound

This paper cites Automated market maker inventory management with deep reinforcement learning,.

Market Making Strategies with Reinforcement Learning Automated market maker inventory management with deep reinforcement learning,

Reference 90

Resolution: verified exact; doi, observed 2026-08-15T18:15:09.984421Z

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Observation cb43efb6-243d-458e-a52b-a97e43eff1ea · outbound

This paper cites Cournapeau,Scikit-learn (machine learning in python), https://scikit-learn.org/stable/, 2007.

Market Making Strategies with Reinforcement Learning Cournapeau,Scikit-learn (machine learning in python), https://scikit-learn.org/stable/, 2007

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.674510Z

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Observation c95b994e-8e68-4009-8ad6-e473f3d4c5a9 · outbound

This paper cites Lundberg,Shap (shapley additive explanations), https://shap.readthedocs.io/en/latest/index.html, 2018.

Market Making Strategies with Reinforcement Learning Lundberg,Shap (shapley additive explanations), https://shap.readthedocs.io/en/latest/index.html, 2018

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.679110Z

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Observation 5a963d4a-a216-467b-a9eb-1514f9ebde54 · outbound

This paper cites Movemo: A structured approach for engineering reward functions,.

Market Making Strategies with Reinforcement Learning Movemo: A structured approach for engineering reward functions,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.684468Z

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Observation 9ad185ce-fb7b-40e1-8198-42c20a0cf5a8 · outbound

This paper cites Deep reward shaping from demonstrations,.

Market Making Strategies with Reinforcement Learning Deep reward shaping from demonstrations,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.688991Z

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Observation d6881bd9-3aed-4ec6-a167-0ea7dc313d6a · outbound

This paper cites A survey of inverse reinforcement learn- ing,.

Market Making Strategies with Reinforcement Learning A survey of inverse reinforcement learn- ing,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.693606Z

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Observation 990a73c2-2abe-4a97-9974-c1add50d2a26 · outbound

This paper cites Pol- icy invariant explicit shaping: An efficient alternative to reward shaping,.

Market Making Strategies with Reinforcement Learning Pol- icy invariant explicit shaping: An efficient alternative to reward shaping,

Reference 96

Resolution: verified exact; doi, observed 2026-08-15T18:15:09.968958Z

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Observation 28d341a4-1ab7-4552-b7ee-028848416971 · outbound

This paper cites Trend-following trading strategies in commodity futures: A re-examination,.

Market Making Strategies with Reinforcement Learning Trend-following trading strategies in commodity futures: A re-examination,

Reference 97

Resolution: malformed identifier; no resolver link, observed 2026-08-15T18:15:09.703424Z

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Observation 6153a553-e0d0-4fa8-b3f5-422fa5cff6b5 · outbound

This paper cites Momentum and trend follow- ing trading strategies for currencies revisited-combining academia and industry,.

Market Making Strategies with Reinforcement Learning Momentum and trend follow- ing trading strategies for currencies revisited-combining academia and industry,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.707561Z

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Market Making Strategies with Reinforcement Learning The application of trend following strategies in stock market trading,

Reference 99

Resolution: verified exact; doi, observed 2026-08-15T18:15:09.942409Z

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Observation 9015fa83-71a7-4a35-98af-f2a5a535aad6 · outbound

This paper cites On the limitations of scalar- isation for multi-objective reinforcement learning of pareto fronts,.

Market Making Strategies with Reinforcement Learning On the limitations of scalar- isation for multi-objective reinforcement learning of pareto fronts,

Reference 100

Resolution: verified exact; doi, observed 2026-08-15T18:15:09.926255Z

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Observation bc95e0b4-d972-4070-bc75-7c8c088ad911 · outbound

This paper cites Performance metrics in multi-objective optimization,.

Market Making Strategies with Reinforcement Learning Performance metrics in multi-objective optimization,

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:09.722950Z

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Observation b40bacdd-69c2-47a6-bae0-c91a8361c722 · outbound

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Market Making Strategies with Reinforcement Learning Directed exploration in black-box optimization for multi-objective reinforcement learning,

Reference 102

Resolution: verified exact; doi, observed 2026-08-15T18:15:09.908731Z

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Observation 6c61bdb1-5c32-4722-8de2-8757f960a70b · outbound

This paper cites A new model for the multi-objective mul- tiple allocation hub network design and routing problem,.

Market Making Strategies with Reinforcement Learning A new model for the multi-objective mul- tiple allocation hub network design and routing problem,

Reference 103

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