Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:27:44.219249Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.15457.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:27:44.219249Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
32 of 32 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d550f721-d9aa-4d0b-bd27-d3900b92329d · outbound
Robust Peak-cost Constrained Reinforcement Learning Altman,Constrained Markov decision processes
Reference 1
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Observation b61eda01-2514-4db4-9351-c36311815d6a · outbound
Robust Peak-cost Constrained Reinforcement Learning Towards achieving sub-linear regret and hard constraint violation in model-free rl,
Reference 2
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Observation c26db9a6-4743-45bd-a319-814d4fa18fba · outbound
Robust Peak-cost Constrained Reinforcement Learning Achieving sub-linear regret in infinite horizon average reward constrained mdp with linear function approximation,
Reference 3
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Observation e3d03652-b9b1-4f2b-9ddd-b72284d7251d · outbound
Robust Peak-cost Constrained Reinforcement Learning Reward constrained policy optimization,
Reference 4
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Observation 31754b4f-b1c8-4c3b-8456-2959d730a20f · outbound
Robust Peak-cost Constrained Reinforcement Learning Reachability constrained rein- forcement learning,
Reference 5
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Observation a139e191-a795-4eba-936c-f7282e0165f7 · outbound
Robust Peak-cost Constrained Reinforcement Learning Iterative reachability estimation for safe reinforcement learning,
Reference 6
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Observation 38a08963-a5dd-46d6-ac79-c0d42d281c08 · outbound
Robust Peak-cost Constrained Reinforcement Learning Safe policies for reinforcement learning via primal-dual methods,
Reference 7
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Observation 37341d57-cd45-41c7-af60-ee570d854f3f · outbound
Robust Peak-cost Constrained Reinforcement Learning Responsive safety in reinforce- ment learning by pid lagrangian methods,
Reference 8
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Observation a9171b69-a913-40ce-8d5f-21f35d841a37 · outbound
Robust Peak-cost Constrained Reinforcement Learning Constrained upper confidence reinforcement learning,
Reference 9
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Observation d9c5dd50-a78f-436c-a92d-ef40ba3a59b5 · outbound
Robust Peak-cost Constrained Reinforcement Learning Natural policy gradient primal-dual method for constrained markov decision pro- cesses,
Reference 10
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Observation 5b4699e0-fdf6-4279-b728-10bc4cc72b61 · outbound
Robust Peak-cost Constrained Reinforcement Learning Crpo: A new approach for safe reinforcement learning with convergence guarantee,
Reference 11
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Observation 5547b983-519f-4b5b-b9d4-c8ddff7baeeb · outbound
Robust Peak-cost Constrained Reinforcement Learning Constrained policy optimization,
Reference 12
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Observation 0bb26c26-2813-4da9-a282-e92d4c3174cd · outbound
Robust Peak-cost Constrained Reinforcement Learning A lyapunov-based approach to safe reinforcement learning,
Reference 13
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Observation 840bcb1f-cfb1-4b76-9202-9cb806b31959 · outbound
Robust Peak-cost Constrained Reinforcement Learning Robust Constrained Reinforcement Learning
Reference 14
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Observation 14019e84-eacc-48bf-a23c-00787183dbe6 · outbound
Robust Peak-cost Constrained Reinforcement Learning Distributionally Robust Constrained Reinforcement Learning under Strong Duality
Reference 15
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Observation ba752abe-9500-4c0a-9cb7-c48984a3d790 · outbound
Robust Peak-cost Constrained Reinforcement Learning Near-optimal policy identification in robust constrained markov decision processes via epigraph form,
Reference 16
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Observation df4089d0-49e6-4644-890f-cd5e3e04693b · outbound
Robust Peak-cost Constrained Reinforcement Learning Efficient policy optimization in robust constrained mdps with iteration com- plexity guarantees,
Reference 17
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Observation eff7d705-78de-4b06-becb-94d81c5ba068 · outbound
Robust Peak-cost Constrained Reinforcement Learning Safe learning in robotics: From learning-based control to safe reinforcement learning,
Reference 18
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Observation 2330380a-ca15-4416-80a5-2f433f71d4fd · outbound
Robust Peak-cost Constrained Reinforcement Learning Robust control barrier–value functions for safety-critical control,
Reference 19
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Observation 49f2e71a-0bb3-4290-b37c-6e5a6afac641 · outbound
Robust Peak-cost Constrained Reinforcement Learning Learning barrier certificates: Towards safe rein- forcement learning with zero training-time violations,
Reference 20
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Observation c71de5f5-f557-4f7f-b36c-21eb94c2f82c · outbound
Robust Peak-cost Constrained Reinforcement Learning Joint synthesis of safety certificate and safe control policy using constrained reinforce- ment learning,
Reference 21
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Observation 9af17ba4-136e-47b5-b881-3b2d2ff44d42 · outbound
Robust Peak-cost Constrained Reinforcement Learning Hamilton-jacobi reachability: A brief overview and recent advances,
Reference 22
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Observation 2a3df542-3f13-47c3-8556-376dd832015f · outbound
Robust Peak-cost Constrained Reinforcement Learning A general safety framework for learning-based control in uncertain robotic systems,
Reference 23
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Observation 5514e28a-d393-4fd3-aab0-868757cf4e12 · outbound
Robust Peak-cost Constrained Reinforcement Learning Bridging hamilton-jacobi safety analysis and reinforcement learning,
Reference 24
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Observation af89d4ae-4157-470c-b02b-8fd7fe214b07 · outbound
Robust Peak-cost Constrained Reinforcement Learning Solving minimum-cost reach avoid using reinforcement learning,
Reference 25
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Observation 871c56dd-99b2-4a86-a578-a1921f64306f · outbound
Robust Peak-cost Constrained Reinforcement Learning Con- strained reinforcement learning has zero duality gap,
Reference 26
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Observation 99e5555c-5187-4fc8-b6ba-0544f28c96af · outbound
Robust Peak-cost Constrained Reinforcement Learning Robust dynamic programming,
Reference 27
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Observation 3ebef439-f9be-4f70-ba10-13e9297aa275 · outbound
Robust Peak-cost Constrained Reinforcement Learning Natural actor-critic for robust reinforcement learning with function approximation,
Reference 28
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Observation 4f4e1c87-f47b-4989-bb82-cc54bf5f532d · outbound
Robust Peak-cost Constrained Reinforcement Learning Integral probability metrics and their generating classes of functions,
Reference 29
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Observation 25a31f43-5aaf-42f8-b33f-8d74c1ed4f0c · outbound
Robust Peak-cost Constrained Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 30
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Observation f4124912-88b4-43de-9145-a1fa65a24b16 · outbound
Robust Peak-cost Constrained Reinforcement Learning OpenAI Gym
Reference 31
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Observation 327fcfa7-676d-4281-a973-ee01690bb500 · outbound
Robust Peak-cost Constrained Reinforcement Learning Since 1−p 2 ≤ 1 2 for allp∈[0,1], this is self-consistent
Reference 32
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No inbound Pith citation observations are available.