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Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2607.03903.
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Source: paper_references, paper_reference_links, observed 2026-07-11T23:08:40.265657Z
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Pith citing papers itemized under the disclosed page cap.
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73 of 73 outbound references displayed
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Observation 04215f3e-cbd5-4350-87d1-73ea8106ee6a · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task reinforcement learning in humans,
Reference 1
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Observation 78568ca2-ebcf-4eb2-b629-442bf8354ade · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Curriculum-based asymmetric multi-task reinforcement learning,
Reference 2
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Observation e8401553-28ba-4030-a384-fdecf499a8e6 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task reinforcement learning with soft modularization,
Reference 3
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Observation 85014611-7711-4779-a668-2f8ded09b135 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,
Reference 4
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Observation eca7f036-0ecf-486d-8e84-da5a1b94307d · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Lifelong robotic reinforcement learning by retain- ing experiences,
Reference 5
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Observation f0cde9cc-16e7-4061-a377-db73341ac6e4 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task batch reinforcement learning with metric learning,
Reference 6
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Observation 7011936b-dbaf-4b89-9134-67177c8cf823 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning A discrete soft actor-critic decision-making strategy with sample filter for freeway autonomous driving,
Reference 7
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Observation 535df503-54ef-418a-a2e0-e8df750a437b · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Longitudinal speed control of autonomous vehicle based on a self-adaptive pid of radial basis function neural network,
Reference 8
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Observation d36a1702-7b0e-46cc-8e83-b534d062bb31 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Skills regularized task decomposition for multi-task offline reinforcement learning,
Reference 9
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Observation a3bb215a-fff6-4d4e-a7b4-40d26ce5967a · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Gnfactor: Multi-task real robot learning with generalizable neural feature fields,
Reference 10
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Observation 37bb97f4-f969-4205-a369-03a9161b1150 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task learning with attention for end-to-end autonomous driving,
Reference 11
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Observation e8db3227-1a37-4aaf-be21-081a44d449a1 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Aoi-aware resource allocation for platoon-based c-v2x networks via multi-agent multi-task reinforcement learning,
Reference 12
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Observation ad6befa9-10eb-4c8f-adfb-a5eeb7f5d7fe · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning A multi-task-learning- based transfer deep reinforcement learning design for autonomic optical networks,
Reference 13
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Observation f357e30b-a7f7-4a1e-bec8-0906be7d7d0e · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task deep reinforcement learning with popart,
Reference 14
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Observation e2dd1870-e2a1-4184-b4e8-62efd9255ec0 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning A survey of multi-task deep reinforcement learning,
Reference 15
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Observation a9a12da8-f332-4892-afb0-91690f5e9322 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Provably efficient multi-task reinforcement learning with model transfer,
Reference 16
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Observation 432fc9e5-ea89-46eb-9e2f-71f78d66c57a · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Toward trustworthy decision-making for autonomous vehicles: A robust reinforcement learning approach with safety guarantees,
Reference 17
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Observation ec10fa17-d8fc-4038-8c3a-2f4508b5ad15 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Residual policy learning facilitates efficient model-free autonomous racing,
Reference 18
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Observation ed90efe3-db99-47b7-80bd-bc7de3155f43 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning,
Reference 19
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Observation 410eba7c-13b2-46d5-8036-3c62bb6d0dda · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Safe reinforce- ment learning for arm manipulation with constrained markov decision process,
Reference 20
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Observation a262a2f5-2a6d-4917-af90-3a0dc6bb5548 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Safe exploration in reinforcement learning: A generalized formulation and algorithms,
Reference 21
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Observation 63bce3eb-9a31-4a2b-aa39-349ec3226858 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Constraints penalized q-learning for safe offline reinforcement learning,
Reference 22
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Observation 50f5dd15-e308-499a-904a-30b27a8c02de · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Poce: Primal policy optimization with conservative estimation for multi-constraint offline reinforcement learning,
Reference 23
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Observation a707e98a-f7d7-4455-9fec-02180bf40a8b · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Reference 24
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Observation 22bffaf7-f2e7-45fc-bb6e-8303d334c4da · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Constrained offline policy optimization,
Reference 25
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Observation d8c62032-9432-4079-9e18-cfd32453242f · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning VOCE: Variational optimization with conservative estimation for offline safe reinforcement learning,
Reference 26
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Observation 8ba410fd-1e3b-4a29-970b-ee61f7dceb71 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Sharing knowledge in multi-task deep reinforcement learning,
Reference 27
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Observation bd2a67a6-bb02-442c-a4d2-910be17c46db · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Optimization of deep rein- forcement learning with hybrid multi-task learning,
Reference 28
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Observation f6a90f3c-1ff9-4842-be12-236436203226 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Conservative data sharing for multi-task offline reinforcement learn- ing,
Reference 29
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Observation 041c4b91-1984-4753-8405-209afc81834a · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task reinforcement learning with context-based representations,
Reference 30
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Observation 1f08d56f-cf93-419b-bf43-2cd9065ce8a4 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Just pick a sign: Optimizing deep multitask models 13 with gradient sign dropout,
Reference 31
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Observation 3e90d6ca-8eaa-4595-a6b8-93c9793c159f · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Conflict-averse gradi- ent descent for multi-task learning,
Reference 32
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Observation 72639a85-8282-4e0f-b770-af0412fdcfd0 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task reinforcement learning with soft modularization,
Reference 33
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Observation 07039ef1-2186-463f-8601-900f8bd706cb · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Paco: Parameter- compositional multi-task reinforcement learning,
Reference 34
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Observation cba640cc-e760-4ed9-ae9a-8d03c92ca955 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Recomposing the reinforcement learning building blocks with hypernetworks,
Reference 35
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Observation 9d6386d1-c764-4e8a-ac9a-e88b7048e76c · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Batch policy learning under con- straints,
Reference 36
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Observation 01b17824-fda4-4304-ba42-1011f98c43d8 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Gendice: Generalized offline estimation of stationary values,
Reference 37
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Observation 1d467ab3-19b5-418c-9c3b-9c3f119e17a8 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Coindice: Off-policy confidence interval estimation,
Reference 38
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Observation 63db115a-f3ff-4da7-86cd-0a051b679802 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Optidice: Offline policy optimization via stationary distribution correction estimation,
Reference 39
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Observation 88b23f5a-8ef6-4337-bbd7-3ca1270b5bb3 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Coptidice: Offline constrained reinforcement learning via stationary distribution correction estimation,
Reference 40
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Observation 408dd544-0752-4cee-86e3-fcea984b2612 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Con- strained decision transformer for offline safe reinforcement learning,
Reference 41
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Observation 261e6b07-d454-4bdc-b184-dd007f6f6389 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning
Reference 42
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Observation 359ceb8b-ec38-48b3-b69e-99e2da34c471 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Scaling up multi-task robotic reinforcement learning,
Reference 43
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Observation 6c55a0ba-910f-4450-a2c6-f6142620ac55 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Perceiver-actor: A multi-task transformer for robotic manipulation,
Reference 44
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Observation 51b76292-c5c2-4e61-8e2d-da4d55fae113 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Effective adapta- tion in multi-task co-training for unified autonomous driving,
Reference 45
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Observation e85b19b2-0c02-4001-a53a-16d4e8c33ebe · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Learning Shared Representations in Multi-task Reinforcement Learning
Reference 46
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Observation fca99087-09fa-4cdc-be77-6356f9c207a9 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-task reinforcement learning with attention-based mixture of experts,
Reference 47
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Observation dcb0bde3-8120-4158-8291-d522ed1947e4 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Shar- ing knowledge in multi-task deep reinforcement learning,
Reference 48
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Observation a23cecb9-da15-4f56-bcd0-1f997388c2d1 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Impala: Scalable dis- tributed deep-rl with importance weighted actor-learner architectures,
Reference 49
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Observation 71e56d1a-4a0f-4976-9896-25059432d99c · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Reference 50
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Observation 0906c6cc-10fc-4c38-8215-bbc8217065aa · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Asynchronous methods for deep rein- forcement learning,
Reference 51
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Observation dd044dfc-433f-4600-92a0-71c95af95851 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Deterministic policy gradient algorithms,
Reference 52
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Observation 0117f10b-a10a-4084-af08-890c7a2919cf · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Sharing knowledge in multi-task deep reinforcement learning,
Reference 53
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Observation 172b9bf1-720f-45e8-b4ac-7a499fa9a65c · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Multi-game decision transformers,
Reference 54
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Observation 874cb008-cd0a-4220-a280-7ee59b1d64a9 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning,
Reference 55
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Observation 7f5ff869-a440-4920-9332-faa881bf7fb0 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Altman,Constrained Markov decision processes: stochastic modeling
Reference 56
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Observation 54aabce8-3c12-40d9-8c2f-22b2c1b44b20 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Conservative q-learning for offline reinforcement learning,
Reference 57
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Observation 55e9c038-06c9-4532-b8e1-3b36e574fd41 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Uac: Offline reinforcement learning with uncertain action constraint,
Reference 58
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Observation 438511c9-900e-43b2-9145-0fbcb758174d · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Generative modeling by estimating gradients of the data distribution,
Reference 59
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Observation b34c99d7-b0b7-4a2a-b573-88ead452794b · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Denoising diffusion probabilistic models,
Reference 60
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Observation c88020b8-d7b2-497d-8191-89017e501692 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Variational inference: A review for statisticians,
Reference 61
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Observation b2aa7cf6-2102-4bca-9ddc-b2afb73c66d1 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Efficient diffusion policies for offline reinforcement learning,
Reference 62
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Observation 2088c7e4-4445-47ea-90d5-6f4693828239 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Is conditional generative modeling all you need for decision-making?
Reference 63
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Observation 09d3b324-2deb-46b5-917f-bc4b34bc58a7 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Efficient learning of safe driving policy via human-ai copilot optimization,
Reference 64
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Observation 8c49a55d-b920-49b0-8f79-caf907222248 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Safe driving via expert guided policy optimization,
Reference 65
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Observation f53a6df2-0e63-48bd-96f6-af342ceb79b9 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Denoising diffusion probabilistic models,
Reference 66
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Observation 0c43d1b9-4e05-453a-a078-1e62b90a8aa4 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,
Reference 67
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Observation 3c08cf8e-55d0-414e-b187-1e2135b5b822 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Datasets and Benchmarks for Offline Safe Reinforcement Learning
Reference 68
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Observation bdd159d0-4bfc-44fc-9bdd-cae2bc960446 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Learning to simulate self-driven particles system with coordinated policy optimization,
Reference 69
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Observation 46128661-48c8-405d-a494-c4536aa2b14b · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Understanding Diffusion Models: A Unified Perspective
Reference 70
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Observation b1dfffcf-03fc-4dbc-93b4-ae055fee408a · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Denoising diffusion implicit models,
Reference 71
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Observation 0c153df2-0c33-49fe-b757-f5384b2ed6f4 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Table 2 outlines the primary network parameters of the model implemented by our CDCP algorithm
Reference 72
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Observation 0e01d0a9-bb72-4baf-a8da-d7ba5a9ae430 · outbound
CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning These scenarios include environments such as curves, intersections, T-junctions, and roundabouts
Reference 73
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