Paper Citation Record · LEDGER

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

As of 13 August 2026, this Paper Citation Record lists 100 of 265 outbound references and 9 inbound Pith citation observations for arXiv:2411.18892.

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

pith.paper-citation-record.v1
2411.18892 v2

Coverage vector

measured 100 of 265 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:48:42.230024Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:03.035487Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:56:56.507096Z

Reference resolution

100 of 265 outbound references displayed

verified exact9
verified fuzzy0
unresolved91
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6eb8a5da-10ca-41d7-8182-90656dafc1e0 · outbound

This paper cites an unresolved cited work.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Unresolved cited work

Reference 1

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Observation 8ebf840b-024f-4dc7-9430-0acbf5a89157 · outbound

This paper cites The theory of dynamic programming,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges The theory of dynamic programming,

Reference 2

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Observation 4f61ff19-7df0-40e9-8adc-506dd7dd922a · outbound

This paper cites Introduction to Reinforcement Learning.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Introduction to Reinforcement Learning

Reference 3

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Observation d2f3bd12-48e7-4497-8a14-11b9db7584c6 · outbound

This paper cites Learning to predict by the methods of tempo ral differences,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Learning to predict by the methods of tempo ral differences,

Reference 4

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Observation c9d16a82-da10-4a31-ba3e-91b6e7b6115c · outbound

This paper cites Learning from delayed rewards,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Learning from delayed rewards,

Reference 5

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This paper cites Rein- forcement learning: A survey,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Rein- forcement learning: A survey,

Reference 6

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Observation 4b199c9b-d96b-4a68-b8fc-c8ada6694e3b · outbound

This paper cites Finite-time a nalysis of the multiarmed bandit problem,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Finite-time a nalysis of the multiarmed bandit problem,

Reference 7

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Observation 92fa5ddc-472a-4e16-b03e-49b3a584e10c · outbound

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

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Human-level control through deep rein- forcement learning,

Reference 8

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Observation 4cf596b4-a013-4e06-9002-5f38eaab5471 · outbound

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

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Mastering the game of go with deep neural networks and tree search,

Reference 9

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Observation 051f351e-febc-4267-990d-4f0e1beca322 · outbound

This paper cites Reinforcement learning in game industry—review, prospec ts and challenges,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcement learning in game industry—review, prospec ts and challenges,

Reference 10

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This paper cites Pgx: Hardware-accelerated parallel game simulators for reinforcement learning,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Pgx: Hardware-accelerated parallel game simulators for reinforcement learning,

Reference 11

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Observation 5a89af55-ed63-4ac8-a6f7-459321266e7d · outbound

This paper cites Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Reference 12

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Observation 195557f6-2a4a-427b-8a69-8a4830fa2488 · outbound

This paper cites Pursuit-evasion gam e strategy of usv based on deep reinforcement learning in comp lex multi-obstacle environment,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Pursuit-evasion gam e strategy of usv based on deep reinforcement learning in comp lex multi-obstacle environment,

Reference 13

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Observation 93ef6eb5-43f9-4b0d-8256-3714a2072a3e · outbound

This paper cites Residual skill policies: Learning an adaptable skill-bas ed ac- tion space for reinforcement learning for robotics,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Residual skill policies: Learning an adaptable skill-bas ed ac- tion space for reinforcement learning for robotics,

Reference 14

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This paper cites Reinforcement l earning in robotics: A survey,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcement l earning in robotics: A survey,

Reference 15

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This paper cites Intrinsically motivated multi- goal rein- forcement learning using robotics environment integrated with openai gym,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Intrinsically motivated multi- goal rein- forcement learning using robotics environment integrated with openai gym,

Reference 16

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This paper cites i-sim2real: Reinforcement learning of robotic p olicies in tight human-robot interaction loops,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges i-sim2real: Reinforcement learning of robotic p olicies in tight human-robot interaction loops,

Reference 17

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Observation d9567e94-9df7-474e-96fe-e5267b9dab6a · outbound

This paper cites Multi-agent broad reinforcement learning for intelligent trafﬁc light control,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Multi-agent broad reinforcement learning for intelligent trafﬁc light control,

Reference 18

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Observation 88715876-e49a-47ed-9eab-5b318b5181e4 · outbound

This paper cites Intelligent vehicle pedestrian light (ivp l): A deep reinforcement learning approach for trafﬁc signal con trol,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Intelligent vehicle pedestrian light (ivp l): A deep reinforcement learning approach for trafﬁc signal con trol,

Reference 19

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This paper cites Swarm learning- based dynamic optimal management for trafﬁc congestion in 6g-driven intelligent transportation system,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Swarm learning- based dynamic optimal management for trafﬁc congestion in 6g-driven intelligent transportation system,

Reference 20

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Deep multi-agent reinforcement learning for highway on-ramp merging in mixed trafﬁc,

Reference 21

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Maximizing group-based vehicle communications and fairn ess: A reinforcement learning approach,

Reference 22

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This paper cites A real-world application of markov chain monte carlo method for bayesian trajectory control of a robotic manipulator,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A real-world application of markov chain monte carlo method for bayesian trajectory control of a robotic manipulator,

Reference 23

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Observation a92b5b29-4294-4a73-919c-a87f8a547f47 · outbound

This paper cites Obstacle avoidance method based on double dqn for agricultural robot s,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Obstacle avoidance method based on double dqn for agricultural robot s,

Reference 24

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Adaptive importance sampling monte carl o simulation of rare transition events,

Reference 25

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Dou- ble dqn-based coevolution for green distributed heterogen eous hybrid ﬂowshop scheduling with multiple priorities of jobs ,

Reference 26

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges An intel li- gent train control approach based on the monte carlo reinfor ce- ment learning algorithm,

Reference 27

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Green computing in heterogeneous internet of things: Optimizing energy alloc ation using sarsa-based reinforcement learning,

Reference 28

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Power allocation in multi-ag ent networks via dueling dqn approach,

Reference 29

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Efﬁcient importa nce sampling for monte carlo simulation of multicast networks,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcement-learning-based ener gy storage system operation strategies to manage wind power forecast uncertainty,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Learning-based power delay proﬁle estimatio n for 5g nr via advantage actor-critic (a2c),

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Per-decision Multi-step Temporal Difference Learning with Control Variates

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A motion control method for agent based on dyna-q algorithm,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Temporal-difference netwo rks,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Realizing undelayed n-step td prediction w ith neural networks,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Monte Carlo Tree Search for Asymmetric Trees

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges An overview of q-learni ng based energy efﬁcient power allocation in wban (q-eepa),

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Intelligent control of a quadrotor with proximal pol icy optimization reinforcement learning,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Automated por t- folio rebalancing using q-learning,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Prioritized sweeping reinfor cement learning based routing for manets,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Multiagent simulation on hide and seek games using policy gradient trust region policy optimizati on,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Maximum likelihood parameter est i- mation of superimposed chirps using monte carlo importance sampling,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Improving nuclei segmentation in pathological image via reinforcement lear ning,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Image captionin g via proximal policy optimization,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Sarsa (0) reinforcement learning over fully homomorphic encryption,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A reinforce ment learning approach to the shepherding task using sarsa,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Multiagent monte carlo tree search,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Multi-objective p ri- 74 oritized task scheduler using improved asynchronous advan tage actor critic (a3c) algorithm in multi cloud environment,

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This paper cites Deep Reinforcement Learning: An Overview.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Deep Reinforcement Learning: An Overview

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Deep reinforcement learning: A brief survey,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Deep reinforcement learning: A survey,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Deep reinforcement learning: a survey ,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Model-based reinforcement learning: A survey,

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This paper cites Survey of model-ba sed reinforcement learning: Applications on robotics,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Survey of model-ba sed reinforcement learning: Applications on robotics,

Reference 56

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This paper cites A survey on model-based reinforcement learning,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A survey on model-based reinforcement learning,

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This paper cites Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey

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This paper cites Model-free rei nforce- ment learning from expert demonstrations: a survey,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Model-free rei nforce- ment learning from expert demonstrations: a survey,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reward function design in reinforcement learn- ing,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcement learning,

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This paper cites Chapter 8 markov decision processes,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Chapter 8 markov decision processes,

Reference 62

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Markov decision processes,

Reference 63

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcemen t learning to rank with markov decision process,

Reference 64

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This paper cites Foundations of Reinforcement Learning and Interactive Decision Making.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Foundations of Reinforcement Learning and Interactive Decision Making

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges On-line q-learning usin g connectionist systems,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcement learni ng,

Reference 67

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Introduction to reinforcemen t learn- ing,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Learning to reinforcement learn

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This paper cites Introduction to reinforcement learning,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Introduction to reinforcement learning,

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This paper cites The role of exploration in learning control,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges The role of exploration in learning control,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Near-optimal performance for r e- inforcement learning in polynomial time,

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This paper cites Integrated architectures for learning, planning, and reacting based on approximating dynamic programming,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Integrated architectures for learning, planning, and reacting based on approximating dynamic programming,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Control of expl oitation– exploration meta-parameter in reinforcement learning,

Reference 74

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Decou- pling exploration and exploitation in reinforcement learn ing,

Reference 75

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Exploration versus exploitation in reinforcement learning: a stochastic control approach

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges V al ue iteration networks,

Reference 77

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Mod el- free monte carlo-like policy evaluation,

Reference 78

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This paper cites Importance sampling: a re- view,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Importance sampling: a re- view,

Reference 79

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Renewal monte carlo: Re - newal theory-based reinforcement learning,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Monte carlo off-policy reinforcement learning: A rough set approach,

Reference 81

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Monte Carlo Bayesian Reinforcement Learning

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Monte-carlo bayesian reinforcement learning using a compact factored representation,

Reference 83

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This paper cites Reinforcement learning i n card game environments using monte carlo methods and artiﬁcial neural networks,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Reinforcement learning i n card game environments using monte carlo methods and artiﬁcial neural networks,

Reference 84

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Importance sampling in the monte carlo st udy of sequential tests,

Reference 85

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A new importance sampling monte carlo method for a ﬂow network reliability problem,

Reference 86

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This paper cites On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning

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This paper cites Approximation spaces in off- policy monte carlo learning,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Approximation spaces in off- policy monte carlo learning,

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This paper cites Td (0)-replay: An efﬁcient model-free pl anning with full replay,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Td (0)-replay: An efﬁcient model-free pl anning with full replay,

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This paper cites KnightCap: A chess program that learns by combining TD(lambda) with game-tree search.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges KnightCap: A chess program that learns by combining TD(lambda) with game-tree search

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges The convergence of td ( λ) for general λ,

Reference 91

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This paper cites Td ( λ) converges with proba- bility 1,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Td ( λ) converges with proba- bility 1,

Reference 92

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This paper cites Two novel on-policy reinforcement learning algorithms based on td ( λ)-methods,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Two novel on-policy reinforcement learning algorithms based on td ( λ)-methods,

Reference 93

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This paper cites Multi-step reinforcement learning: A unifying algorithm ,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Multi-step reinforcement learning: A unifying algorithm ,

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This paper cites A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation

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Observation 0915664e-5ee0-4d0c-a53c-ff090fd0a9f3 · outbound

This paper cites A uniﬁed view of multi-step temporal differ ence learning,.

A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges A uniﬁed view of multi-step temporal differ ence learning,

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Szepesv´ ari, Algorithms for reinforcement learning

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Greedy multi-step off-policy reinf orce- ment learning,

Reference 99

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A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges Multi-step Off-policy Learning Without Importance Sampling Ratios

Reference 100

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Observation 905e1a6b-bb43-4ddc-b38b-1c52f647d88a · inbound

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Generative AI for Autonomous Driving: A Review A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

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Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

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A Survey of Reinforcement Learning for Large Reasoning Models A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

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Reinforcement Learning Assisted Quantum Simulation of Many-Body Excited States and Real-Time Dynamics A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

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Trust Region On-Policy Distillation A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

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From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

Reference 13

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Coachable agents for interactive gameplay A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

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