Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization | Paper Citation Record

Observation 55da70d9-ecec-488f-b11a-82335f9744b0 · outbound

This paper cites Apprenticeship learning via inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Apprenticeship learning via inverse reinforcement learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.882413Z

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Observation 88a5da64-daf6-40e7-b647-35d1527a2035 · outbound

This paper cites Dynamic inverse reinforcement learning for characterizing animal behavior.Advances in neural information processing systems, 35: 29663–29676.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Dynamic inverse reinforcement learning for characterizing animal behavior.Advances in neural information processing systems, 35: 29663–29676

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.884739Z

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Observation 6690cbd1-ac1f-42f8-95ee-d571313d5391 · outbound

This paper cites Interactive inverse re- inforcement learning for cooperative games.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Interactive inverse re- inforcement learning for cooperative games

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.888665Z

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Observation d77eeebb-dfee-43b1-8c59-e542060b4070 · outbound

This paper cites Nonparametric bayesian inverse reinforcement learning for multiple reward functions.Advances in neural information processing systems, 25.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Nonparametric bayesian inverse reinforcement learning for multiple reward functions.Advances in neural information processing systems, 25

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.877036Z

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Observation f39d7373-87fd-4a98-bf0e-91d342257a5b · outbound

This paper cites An overview of bilevel optimization.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization An overview of bilevel optimization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.878773Z

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Observation 8adf89e6-015f-437f-8030-6e277c1776ac · outbound

This paper cites Towards safe human-robot collaboration using deep reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Towards safe human-robot collaboration using deep reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.880630Z

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Observation e5e071a7-d7ff-4626-9de8-8e0137e946d0 · outbound

This paper cites An irl approach for cyber-physical attack intention prediction and recovery.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization An irl approach for cyber-physical attack intention prediction and recovery

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.890435Z

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Observation ae085a7a-7019-4a0f-bc19-b7c67de09374 · outbound

This paper cites Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios.The International Journal of Robotics Research, 39(7):856–892.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios.The International Journal of Robotics Research, 39(7):856–892

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.961146Z

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Observation 1ea15c78-08d3-49cc-9ac2-3aacd614d503 · outbound

This paper cites Approximation Methods for Bilevel Programming.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Approximation Methods for Bilevel Programming

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:14.839412Z

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Observation c29770a1-d49e-4097-92a0-8e2a804ae394 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Reinforcement learning with deep energy-based policies

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.962966Z

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Observation 9eee11cd-2f1f-450f-a594-5ba71d95ea12 · outbound

This paper cites Cooperative inverse reinforcement learning.Advances in neural information processing systems, 29.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Cooperative inverse reinforcement learning.Advances in neural information processing systems, 29

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.954857Z

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Observation 5c967791-3eb5-4c5c-9ce8-0be723933026 · outbound

This paper cites Can ai predict animal movements? filling gaps in animal trajectories using inverse reinforcement learning.Ecosphere, 9(10).

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Can ai predict animal movements? filling gaps in animal trajectories using inverse reinforcement learning.Ecosphere, 9(10)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.952546Z

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Observation f771e4ad-86a0-4be1-a69b-dc70d13d11c4 · outbound

This paper cites What is local optimality in nonconvex- nonconcave minimax optimization? InInternational conference on machine learning, pages 4880–4889.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization What is local optimality in nonconvex- nonconcave minimax optimization? InInternational conference on machine learning, pages 4880–4889

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.957087Z

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Observation 7a6c98c2-c3a3-44b1-ad27-7b7baa474e5b · outbound

This paper cites Interactive Teaching Algorithms for Inverse Reinforcement Learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Interactive Teaching Algorithms for Inverse Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:41:33.273517Z

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Observation 1fae045b-f771-4cdc-8223-73ed800f21fd · outbound

This paper cites Derivative evaluation and computational experience with large bilevel mathematical programs.Journal of optimization theory and applications, 65: 485–499.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Derivative evaluation and computational experience with large bilevel mathematical programs.Journal of optimization theory and applications, 65: 485–499

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.948447Z

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Observation c725f9da-7d7c-476d-a374-e3e94b8f3a49 · outbound

This paper cites Meta-learning with differentiable convex optimization.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Meta-learning with differentiable convex optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.946345Z

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Observation 164dcd3d-eb7e-4dd9-adbb-f345946f42e9 · outbound

This paper cites Multi-agent inverse reinforcement learning for certain general-sum stochastic games.Journal of Artificial Intelligence Research, 66:473–502.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Multi-agent inverse reinforcement learning for certain general-sum stochastic games.Journal of Artificial Intelligence Research, 66:473–502

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.950424Z

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Observation ab7cba61-b5f2-4ced-a645-aebdeac108f0 · outbound

This paper cites Distributed inverse constrained reinforcement learning for multi-agent systems.Advances in Neural Information Processing Systems, 35:33444–33456.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Distributed inverse constrained reinforcement learning for multi-agent systems.Advances in Neural Information Processing Systems, 35:33444–33456

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.959147Z

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Observation 1b9e4b3d-50ab-425c-959f-8cb08a1197d2 · outbound

This paper cites Learning multi-agent behaviors from distributed and streaming demonstrations.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Learning multi-agent behaviors from distributed and streaming demonstrations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.965047Z

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Observation 406753f7-b999-433c-a906-5bff3055c553 · outbound

This paper cites Meta inverse constrained reinforcement learning: Convergence guarantee and generalization analysis.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Meta inverse constrained reinforcement learning: Convergence guarantee and generalization analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.935346Z

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Observation 47e2e104-ac6f-40ab-b820-09fef90cc10b · outbound

This paper cites an unresolved cited work.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Unresolved cited work

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.937719Z

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Observation 26d67092-66fb-4e4c-8586-170887df4a52 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.Advances in neural information processing systems, 30.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Multi-agent actor-critic for mixed cooperative-competitive environments.Advances in neural information processing systems, 30

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.931176Z

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Observation 0db4c7ea-a85b-4a3a-9ed5-5b90fc0196dd · outbound

This paper cites Algorithms for inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Algorithms for inverse reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.928965Z

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Observation 17be043c-2ffe-4bac-94ed-b850377e232b · outbound

This paper cites Learning socially normative robot navigation behaviors with bayesian inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Learning socially normative robot navigation behaviors with bayesian inverse reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.886599Z

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Observation 7307315c-6d85-4a98-956b-475469e1de2b · outbound

This paper cites Efficient cooperative inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Efficient cooperative inverse reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.933306Z

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Observation 8bd9ffbf-942d-4e39-abfb-70903106648d · outbound

This paper cites Hyperparameter optimization with approximate gradient.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Hyperparameter optimization with approximate gradient

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.939810Z

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Observation aa166b67-4bad-49e8-bdac-11ae06f6c9ea · outbound

This paper cites Bayesian inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Bayesian inverse reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.922266Z

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Observation b1d455db-19be-465c-8f58-4b0369e8a508 · outbound

This paper cites Monotonic value function factorisation for deep multi-agent reinforcement learning.Journal of Machine Learning Research, 21(178):1–51.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Monotonic value function factorisation for deep multi-agent reinforcement learning.Journal of Machine Learning Research, 21(178):1–51

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.920210Z

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Observation 05d40c1b-2e7e-47a7-a08c-88790924f0f1 · outbound

This paper cites Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:14.848615Z

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Observation f69b524a-1507-42dc-ac20-4a60ba30ab33 · outbound

This paper cites First-person activity forecasting with online inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization First-person activity forecasting with online inverse reinforcement learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.924426Z

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Observation 3141423a-4945-4eac-bc25-b40284f0b65b · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization The StarCraft Multi-Agent Challenge

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:51:14.843828Z

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Observation beb65f8f-efc7-4cf0-b463-549ebd767eec · outbound

This paper cites Multivariate stochastic approximation using a simultaneous perturbation gradient approximation.IEEE transactions on automatic control, 37(3):332–341.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Multivariate stochastic approximation using a simultaneous perturbation gradient approximation.IEEE transactions on automatic control, 37(3):332–341

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.916228Z

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Observation fbccae58-29b9-4f87-86f1-e0ef0b20c60b · outbound

This paper cites Adaptive stochastic approximation by the simultaneous perturbation method.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Adaptive stochastic approximation by the simultaneous perturbation method

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.913922Z

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Observation 718cefe5-62e2-40f1-829a-3f4eaa4834bd · outbound

This paper cites SIAM.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization SIAM

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.918091Z

Source-reported events for the cited work

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Observation 3726de87-5efd-40f9-a186-81b4b3ba3cf0 · outbound

This paper cites Pettingzoo: Gym for multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 34:15032–15043.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Pettingzoo: Gym for multi-agent reinforcement learning.Advances in Neural Information Processing Systems, 34:15032–15043

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.926707Z

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Observation 436449cc-b1fa-404f-a98c-6ce866dc2e4b · outbound

This paper cites Neural Policy Gradient Methods: Global Optimality and Rates of Convergence.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Neural Policy Gradient Methods: Global Optimality and Rates of Convergence

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:14.853753Z

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Observation 3f3d01e6-d672-4c8f-9285-74ce0f4b5af1 · outbound

This paper cites Competitive multi-agent inverse reinforcement learning with sub-optimal demonstrations.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Competitive multi-agent inverse reinforcement learning with sub-optimal demonstrations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.942302Z

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Observation e9878d38-5fa1-4622-bbff-eadcf3a3889f · outbound

This paper cites Meta value learning for fast policy-centric optimal motion planning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Meta value learning for fast policy-centric optimal motion planning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.967018Z

Source-reported events for the cited work

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Observation e67004df-19fe-490f-9747-45d1f1587f3a · outbound

This paper cites Efficient gradient approximation method for constrained bilevel optimization.Proceedings of the AAAI Conference on Artificial Intelligence, 37(10):12509– 12517, Jun.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Efficient gradient approximation method for constrained bilevel optimization.Proceedings of the AAAI Conference on Artificial Intelligence, 37(10):12509– 12517, Jun

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.909357Z

Source-reported events for the cited work

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Observation c56b892a-4bdd-4c8d-9302-bd7e1f4fc456 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games.Advances in Neural Information Processing Systems, 35:24611–24624.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization The surprising effectiveness of ppo in cooperative multi-agent games.Advances in Neural Information Processing Systems, 35:24611–24624

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.902906Z

Source-reported events for the cited work

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Observation 03d796fc-c01b-4243-974d-34ed8763078f · outbound

This paper cites Multi-agent adversarial inverse reinforcement learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Multi-agent adversarial inverse reinforcement learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.906971Z

Source-reported events for the cited work

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Observation 29651bb9-c09e-49c3-ba52-0b4de5002a3b · outbound

This paper cites Maximum-likelihood inverse reinforcement learning with finite-time guarantees.Advances in Neural Information Processing Systems, 35:10122–10135.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Maximum-likelihood inverse reinforcement learning with finite-time guarantees.Advances in Neural Information Processing Systems, 35:10122–10135

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.905089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 6e36eb48-8e6d-4c82-83d6-97c852d095d3 · outbound

This paper cites an unresolved cited work.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Unresolved cited work

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.911464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b2ea1e6c-ff64-45fd-b709-e554161d53d9 · outbound

This paper cites Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances.IEEE/CAA Journal of Automatica Sinica, 8(2):319–333.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Physical safety and cyber security analysis of multi-agent systems: A survey of recent advances.IEEE/CAA Journal of Automatica Sinica, 8(2):319–333

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.944305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f68e0c44-6128-4718-bdca-9c065a4bed3c · outbound

This paper cites Global convergence of policy gradient methods to (almost) locally optimal policies.SIAM Journal on Control and Optimization, 58 (6):3586–3612.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Global convergence of policy gradient methods to (almost) locally optimal policies.SIAM Journal on Control and Optimization, 58 (6):3586–3612

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.898651Z

Source-reported events for the cited work

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Observation d30f0b21-1bf2-4786-b910-c0cc23314593 · outbound

This paper cites Non-cooperative inverse reinforcement learning.Advances in neural information processing systems, 32.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Non-cooperative inverse reinforcement learning.Advances in neural information processing systems, 32

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.900721Z

Source-reported events for the cited work

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Observation 4fa09895-0881-4281-a81a-19f7ece93488 · outbound

This paper cites Deep reinforcement learning based mobile robot navigation: A review.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Deep reinforcement learning based mobile robot navigation: A review

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.894689Z

Source-reported events for the cited work

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Observation 87a0303c-26d8-449e-b078-238b3767d486 · outbound

This paper cites Maximum entropy inverse reinforcement learning.Association for the Advancement of Artificial Intelligence, 8: 1433–1438.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Maximum entropy inverse reinforcement learning.Association for the Advancement of Artificial Intelligence, 8: 1433–1438

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T09:53:27.896699Z

Source-reported events for the cited work

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Observation 968e1597-c080-4ee4-8f5f-d5b89ba6d517 · outbound

This paper cites Modeling interaction via the principle of maximum causal entropy.International Conference on Machine Learning.

Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization Modeling interaction via the principle of maximum causal entropy.International Conference on Machine Learning

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