Paper Citation Record · LEDGER

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2606.26527.

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

pith.paper-citation-record.v1
2606.26527 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:24:53.844059Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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verified fuzzy0
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External citation measurements

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Outbound references

Observation cf04b379-a558-485b-9187-494c8668fe6d · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Deep reinforcement learning for autonomous driving: A survey,

Reference 1

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Observation a2e17af3-df6a-4c55-a763-0e71219471f5 · outbound

This paper cites Safe reinforcement learning for autonomous lane changing using set-based prediction,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Safe reinforcement learning for autonomous lane changing using set-based prediction,

Reference 2

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Observation fce97bd5-f466-400d-af0c-9d9953b00104 · outbound

This paper cites Unsupervised reinforcement learning for multi-task autonomous driving: Expanding skills and cultivating curiosity,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Unsupervised reinforcement learning for multi-task autonomous driving: Expanding skills and cultivating curiosity,

Reference 3

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Observation 5c14c1ad-31b6-4e3d-92ee-058642c07588 · outbound

This paper cites Driving tasks transfer using deep reinforcement learning for decision-making of autonomous vehicles in unsignalized intersection,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Driving tasks transfer using deep reinforcement learning for decision-making of autonomous vehicles in unsignalized intersection,

Reference 4

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Observation e3d9fff5-edaa-4ff9-9209-7d806b0a3493 · outbound

This paper cites A perspective of q-value estimation on offline-to-online reinforcement learning,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy A perspective of q-value estimation on offline-to-online reinforcement learning,

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Observation c4d5d787-db8f-43ce-b0e2-7e1a84d496e7 · outbound

This paper cites Sim-to-lab-to-real: Safe reinforcement learning with shielding and generalization guarantees,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Sim-to-lab-to-real: Safe reinforcement learning with shielding and generalization guarantees,

Reference 6

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Observation 591fc16c-fcbc-446b-93fd-438e2e3138f4 · outbound

This paper cites Knowledge transfer from simple to complex: A safe and efficient reinforcement learning framework for autonomous driving decision-making,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Knowledge transfer from simple to complex: A safe and efficient reinforcement learning framework for autonomous driving decision-making,

Reference 7

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Observation b59c97a9-9156-47a6-a5bd-e86894a34787 · outbound

This paper cites Zero-shot deep reinforcement learning driving policy transfer for autonomous vehicles based on robust control,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Zero-shot deep reinforcement learning driving policy transfer for autonomous vehicles based on robust control,

Reference 8

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Observation 51924c67-6b7c-436b-b71b-447134fbb78f · outbound

This paper cites Safety reinforcement learning control via transfer learning,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Safety reinforcement learning control via transfer learning,

Reference 9

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Observation 2b113a94-afcf-4c4a-9f7a-6b229e3bceb3 · outbound

This paper cites Federated Transfer Reinforcement Learning for Autonomous Driving.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Federated Transfer Reinforcement Learning for Autonomous Driving

Reference 10

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Observation d6a73046-0631-4f66-b92c-e81d32f3f35a · outbound

This paper cites Scenario- level knowledge transfer for motion planning of autonomous driving via successor representation,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Scenario- level knowledge transfer for motion planning of autonomous driving via successor representation,

Reference 11

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Observation 9c83d9e7-d7dd-4c78-b75e-f76744b697c4 · outbound

This paper cites Self-supervised domain transfer for reinforcement learning-based autonomous driving agent,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Self-supervised domain transfer for reinforcement learning-based autonomous driving agent,

Reference 12

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Observation ece1c202-224d-45b4-8661-ddc911f8f7ef · outbound

This paper cites Cross-domain adaptive transfer reinforcement learning based on state-action correspondence,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Cross-domain adaptive transfer reinforcement learning based on state-action correspondence,

Reference 13

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Observation c6cc2845-4143-4127-9651-c2d2b5564dfc · outbound

This paper cites Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Reference 14

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Observation 51573923-6671-471a-8f60-903a588abe1a · outbound

This paper cites Policy optimization with demonstrations,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Policy optimization with demonstrations,

Reference 15

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Observation 7506a50e-5af8-4a9c-b942-0fa355e5c99c · outbound

This paper cites Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

Reference 16

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Observation 5a818391-6a13-46d5-baae-a766260f1c2a · outbound

This paper cites Knowledge transfer for deep reinforcement learning with hierarchical experience replay,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Knowledge transfer for deep reinforcement learning with hierarchical experience replay,

Reference 17

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Observation dd322c82-940b-4847-9f50-009e2b09887b · outbound

This paper cites Improving reinforcement learning with confidence-based demonstrations,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Improving reinforcement learning with confidence-based demonstrations,

Reference 18

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Observation ac78be33-341c-4ed4-9482-7bc04e89ead8 · outbound

This paper cites An enhanced advising model in teacher-student framework using state categorization,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy An enhanced advising model in teacher-student framework using state categorization,

Reference 19

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Observation 35443eb2-b724-492f-a2a7-c1e5e229d202 · outbound

This paper cites Human as ai mentor: En- hanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Human as ai mentor: En- hanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving,

Reference 20

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Observation 5ff7d50e-9183-4796-a818-4f3a7854372d · outbound

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Adaptive action advising with different rewards,

Reference 21

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This paper cites Safe reinforcement learning via shielding,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Safe reinforcement learning via shielding,

Reference 22

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Observation 9cbaf01e-e927-48f0-89f0-76929bceba3f · outbound

This paper cites Safe reinforcement learning via shielding under partial observability,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Safe reinforcement learning via shielding under partial observability,

Reference 23

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Observation 2a9008c0-cc72-42e4-b01f-dee595077db0 · outbound

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Robust model predictive shielding for safe reinforcement learning with stochastic dynamics,

Reference 24

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Teaching on a budget in multi-agent deep reinforcement learning,

Reference 25

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Action advising with advice imitation in deep reinforcement learning,

Reference 26

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Observation 1819784a-bfcb-4a02-a127-2312f6c6190f · outbound

This paper cites Reinforcement learning with demonstrations from mismatched task under sparse reward,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Reinforcement learning with demonstrations from mismatched task under sparse reward,

Reference 27

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Observation a5e4480f-bf24-4c73-bc58-408d5628c2b3 · outbound

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Psiphi- learning: Reinforcement learning with demonstrations using successor features and inverse temporal difference learning,

Reference 28

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Observation ab690933-2014-4bb6-b2bb-e2e0fb4f15eb · outbound

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Hybrid reinforcement learning with expert state sequences,

Reference 29

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Observation a1854cbe-9c52-4d5b-85a8-f8940ea56f1c · outbound

This paper cites Guided exploration with proximal policy optimization using a single demonstration,.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Guided exploration with proximal policy optimization using a single demonstration,

Reference 30

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Observation 251ee9eb-b1ee-4b4c-877d-25ae7f1b78be · outbound

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Hybrid rl: Using both offline and online data can make rl efficient,

Reference 31

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble,

Reference 32

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning

Reference 33

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Observation 5ab869bf-1fba-4c0a-9ffc-792e8f05443d · outbound

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy An actor-critic algorithm for constrained markov decision processes,

Reference 34

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Reinforcement learning by guided safe exploration,

Reference 35

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Guarded policy optimization with imperfect online demonstrations,

Reference 36

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Approximately optimal approximate rein- forcement learning,

Reference 37

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Unresolved cited work

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Unresolved cited work

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy An environment for autonomous driving decision-making,

Reference 40

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This paper cites The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?.

Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?

Reference 41

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Congested traffic states in empirical observations and microscopic simulations,

Reference 42

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Preferred time-headway of highway drivers,

Reference 43

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 44

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Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy Responsive safety in reinforce- ment learning by pid lagrangian methods,

Reference 45

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