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Paper Citation Record · LEDGER

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2508.15207.

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

pith.paper-citation-record.v1
2508.15207 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:06:21.803962Z

measured 23 of 23 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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 264b692a-95bf-46e2-ac61-519340b00c1e · outbound

This paper cites Google’s self-driving car caused its first crash,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Google’s self-driving car caused its first crash,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4b6b0532-a916-4f97-a209-c3acb09bd230 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93b01042-82c4-406d-9494-1ca35af77a26 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,

Reference 3

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raw_fallback, observed 2026-08-05T18:06:24.569321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 52947855-e5ca-4456-81eb-b6c6286060da · outbound

This paper cites Control of a quadrotor with reinforcement learning,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Control of a quadrotor with reinforcement learning,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e8a13fdb-569f-4730-8c31-cb11d68e3880 · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d07babeb-f4d1-4480-928e-ccd3756a7513 · outbound

This paper cites Deep reinforcement learning framework for autonomous driv- ing,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Deep reinforcement learning framework for autonomous driv- ing,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f165d015-6cde-478d-a211-3fa4fceddf05 · outbound

This paper cites Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge,

Reference 9

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raw_fallback, observed 2026-08-05T18:06:23.611712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T18:06:20.061997Z digest=sha256:1412f962fb3d30a078ff4079c292e032dff07ae89bfdab657c620737a69d1207

Observation 85ccae27-6318-47eb-bca3-cbc5fb7389c7 · outbound

This paper cites Deep rein- forcement learning framework for autonomous driving,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Deep rein- forcement learning framework for autonomous driving,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e9bf95a5-24b6-4131-b415-8a7843fa5926 · outbound

This paper cites Model-free deep reinforcement learning for urban autonomous driving,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Model-free deep reinforcement learning for urban autonomous driving,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 66b82ebf-efd8-412a-8eaf-817ff9d665d2 · outbound

This paper cites Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 208f168d-7cd5-43fd-8948-4bf10d535744 · outbound

This paper cites Multi-agent connected autonomous driving using deep reinforcement learning,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Multi-agent connected autonomous driving using deep reinforcement learning,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b8b05ac8-a726-4e68-9dd4-d911044e2d83 · outbound

This paper cites An environment for autonomous driving decision- making,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning An environment for autonomous driving decision- making,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8a079827-c55a-4833-9bed-7369c9948b0a · outbound

This paper cites Credit assignment for collective multiagent rl with global rewards,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Credit assignment for collective multiagent rl with global rewards,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7b032fa8-9915-4cd0-aa9d-43dfd17c58b0 · outbound

This paper cites Intriguing properties of neural networks.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Intriguing properties of neural networks

Reference 17

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Unavailable: canonical work link unavailable.

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Observation d722d826-37a2-4d68-a778-c79abe7dcb74 · outbound

This paper cites Robust adversar- ial reinforcement learning,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Robust adversar- ial reinforcement learning,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ee5788cb-a078-4948-97c3-e4ba22d924aa · outbound

This paper cites Proximal Policy Optimization Algorithms.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 19

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Observation 5fd5a101-8594-459f-9c70-b1519b8ad06d · outbound

This paper cites Trust region policy optimization,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Trust region policy optimization,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:06:21.193791Z digest=sha256:0259984cb5303b14db78dfe95e9e25fe7ab9cc87e42db4029dcc77ced59c7074

Observation f5948e2d-1fe1-4c3a-bef9-a256ee1f2653 · outbound

This paper cites Double q-learning,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Double q-learning,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6aa42f11-b567-4ec4-988d-c9e61f912d7b · outbound

This paper cites Deep Reinforcement Learning with Double Q-learning.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Deep Reinforcement Learning with Double Q-learning

Reference 22

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Observation a58a6028-d235-4a0a-86ee-f777a02c4985 · outbound

This paper cites Addressing Function Approximation Error in Actor-Critic Methods.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Addressing Function Approximation Error in Actor-Critic Methods

Reference 23

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Unavailable: canonical work link unavailable.

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Observation daac7fb7-af44-4a12-af6f-c22691381a86 · outbound

This paper cites General lane-changing model mobil for car-following models,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning General lane-changing model mobil for car-following models,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4268a574-b55c-4fec-82cb-315a9bc5624b · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations,.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Congested traffic states in empirical observations and microscopic simulations,

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 1abb735b-1f07-4d31-b938-d405f7c1ce7f · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2010/ file/091d584fced301b442654dd8c23b3fc9-Paper.pdf.

Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning Available: https://proceedings.neurips.cc/paper/2010/ file/091d584fced301b442654dd8c23b3fc9-Paper.pdf

Reference 2010

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raw_fallback, observed 2026-08-05T18:06:22.377868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.