Decision Flow Policy Optimization | Paper Citation Record

Observation 7bb54068-3566-43d6-9ef6-5368890198c5 · outbound

This paper cites Diffusion policies for out-of-distribution generalization in offline reinforcement learning.

Decision Flow Policy Optimization Diffusion policies for out-of-distribution generalization in offline reinforcement learning

Reference 1

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Observation f119d52d-6872-42d2-8739-dad7a8a1e273 · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Decision Flow Policy Optimization Is Conditional Generative Modeling all you need for Decision-Making?

Reference 2

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Observation de253d64-9fad-452f-b44c-a5243b4d6ea9 · outbound

This paper cites Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows.

Decision Flow Policy Optimization Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 3

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Observation 0f129e7f-1e58-4fca-a9d3-2fb211336e0d · outbound

This paper cites Uncertainty-based offline reinforcement learning with diversified q-ensemble.

Decision Flow Policy Optimization Uncertainty-based offline reinforcement learning with diversified q-ensemble

Reference 4

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Observation b4df2d69-3fe9-4ec9-81b5-adf5c3b19d50 · outbound

This paper cites Model-Based Offline Planning.

Decision Flow Policy Optimization Model-Based Offline Planning

Reference 5

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Observation 0efb84d6-7b3e-45e6-ad7b-bd796887085b · outbound

This paper cites The peano-baker series.

Decision Flow Policy Optimization The peano-baker series

Reference 6

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Observation f669e893-c37a-4c18-aedb-6dc3c9e72cc4 · outbound

This paper cites Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.

Decision Flow Policy Optimization Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 7

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Observation 84d6bdb3-f2f8-4b43-b4c0-e1357b662ae1 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Decision Flow Policy Optimization Training Diffusion Models with Reinforcement Learning

Reference 8

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Observation 348dc640-46d7-4a64-9952-8c7840faa9e3 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Decision Flow Policy Optimization $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 9

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Observation 7bcaa2fe-154a-4da1-8370-bcc01f7a57c5 · outbound

This paper cites Reinforcement Learning for Generative AI: A Survey.

Decision Flow Policy Optimization Reinforcement Learning for Generative AI: A Survey

Reference 10

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Observation 820a9767-3a44-4d6b-9503-ab3a35904761 · outbound

This paper cites Simple Hierarchical Planning with Diffusion.

Decision Flow Policy Optimization Simple Hierarchical Planning with Diffusion

Reference 11

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Observation ad21c487-7e76-4c69-aab3-0e6db50e2a36 · outbound

This paper cites Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.

Decision Flow Policy Optimization Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

Reference 12

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Observation 7bbc88ad-efbd-4cf0-9dda-be2de6e039af · outbound

This paper cites Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.

Decision Flow Policy Optimization Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions

Reference 13

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Observation 3c723759-4267-4c73-ac31-05085568bd52 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Decision Flow Policy Optimization Decision transformer: Reinforcement learning via sequence modeling

Reference 14

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Observation 2278a0db-9356-4ad5-bd8a-7920cd691edf · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Decision Flow Policy Optimization Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 15

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Observation db435bce-f951-41d5-9933-609c4375bfae · outbound

This paper cites Flow Matching in Latent Space.

Decision Flow Policy Optimization Flow Matching in Latent Space

Reference 16

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Observation db110ff5-eb32-42fb-b950-82196006e03a · outbound

This paper cites Fisher flow matching for generative modeling over discrete data.

Decision Flow Policy Optimization Fisher flow matching for generative modeling over discrete data

Reference 17

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Observation de1150a3-cfae-485b-a4eb-b33f5c0b678b · outbound

This paper cites Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.

Decision Flow Policy Optimization Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 18

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Observation 738948f2-c8df-4a37-bca2-b4a02c58691d · outbound

This paper cites DiffuserLite: Towards Real-time Diffusion Planning.

Decision Flow Policy Optimization DiffuserLite: Towards Real-time Diffusion Planning

Reference 19

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Observation 96595d25-2083-4c04-a978-81d105de798d · outbound

This paper cites Probabilistic number theory I: Mean-value theorems, volume 239.

Decision Flow Policy Optimization Probabilistic number theory I: Mean-value theorems, volume 239

Reference 20

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Observation 25e213c1-9081-4b08-b16a-346397d1a105 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Decision Flow Policy Optimization Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 21

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Observation e0ada8b7-b884-46c2-a7b3-cd3f3d362923 · outbound

This paper cites A reinforcement learning diffusion decision model for value-based decisions.

Decision Flow Policy Optimization A reinforcement learning diffusion decision model for value-based decisions

Reference 22

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Observation 4e7cf567-5aba-4e08-8562-5dae2e2047e3 · outbound

This paper cites Reinforcement learning for generative ai: State of the art, opportunities and open research challenges.

Decision Flow Policy Optimization Reinforcement learning for generative ai: State of the art, opportunities and open research challenges

Reference 23

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Observation 9af8a4e9-a85c-4332-b706-7a7bec547408 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Decision Flow Policy Optimization D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 24

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Observation 9a03472b-99bd-44ef-9143-fee30503e1db · outbound

This paper cites A minimalist approach to offline reinforcement learning.

Decision Flow Policy Optimization A minimalist approach to offline reinforcement learning

Reference 25

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Observation e125cbdf-408d-4e94-88ba-db8bc3189dc0 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Decision Flow Policy Optimization Off-policy deep reinforcement learning without exploration

Reference 26

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Observation d953dd6a-2031-45a3-9913-27c10a576f89 · outbound

This paper cites Generalized Decision Transformer for Offline Hindsight Information Matching.

Decision Flow Policy Optimization Generalized Decision Transformer for Offline Hindsight Information Matching

Reference 27

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Observation 2dff5418-ebe0-492d-be11-b3819b4cd23c · outbound

This paper cites Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning.

Decision Flow Policy Optimization Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

Reference 28

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Observation 2206e9e9-7177-4d91-8879-450d1184d261 · outbound

This paper cites Discrete flow matching.

Decision Flow Policy Optimization Discrete flow matching

Reference 29

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Observation d631f224-5059-4175-9157-3e54022fb3d9 · outbound

This paper cites Offline rl policies should be trained to be adaptive.

Decision Flow Policy Optimization Offline rl policies should be trained to be adaptive

Reference 30

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Observation a5047400-14cb-44ea-968e-41a56053beaf · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor.

Decision Flow Policy Optimization Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 31

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Observation 51eff6bf-9a58-4084-b442-0edb90f51bf6 · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Decision Flow Policy Optimization IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 32

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Observation 56f6ab40-9ae6-4d94-a4f1-86474d6ada37 · outbound

This paper cites Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning.

Decision Flow Policy Optimization Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning

Reference 33

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Observation 45995f37-337d-4382-bcb8-5e9c76826337 · outbound

This paper cites Lectures on Lipschitz analysis.

Decision Flow Policy Optimization Lectures on Lipschitz analysis

Reference 34

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Observation a942017a-8f99-480c-bb0a-77b6a401fe28 · outbound

This paper cites Flow++: Improving flow-based generative models with variational dequantization and architecture design.

Decision Flow Policy Optimization Flow++: Improving flow-based generative models with variational dequantization and architecture design

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:46.278627Z

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Observation 20f550fd-9574-465a-818a-2a7c68710f0b · outbound

This paper cites Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.

Decision Flow Policy Optimization Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning

Reference 36

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Observation a05039dd-c937-4793-acdb-53693627ce24 · outbound

This paper cites On Transforming Reinforcement Learning by Transformer: The Development Trajectory.

Decision Flow Policy Optimization On Transforming Reinforcement Learning by Transformer: The Development Trajectory

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:20:43.445599Z

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Observation b280403c-910d-4944-adf1-5da6f0f07d93 · outbound

This paper cites Graph Decision Transformer.

Decision Flow Policy Optimization Graph Decision Transformer

Reference 38

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Observation f3e6866e-bb55-41c4-947e-cd9b8066ff5e · outbound

This paper cites Adaflow: Imitation learning with variance- adaptive flow-based policies.

Decision Flow Policy Optimization Adaflow: Imitation learning with variance- adaptive flow-based policies

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:46.112420Z

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Observation ede41e49-49ce-4c59-8bfd-0440c2f19fb2 · outbound

This paper cites Diffusion models as optimizers for efficient planning in offline rl.

Decision Flow Policy Optimization Diffusion models as optimizers for efficient planning in offline rl

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:46.003051Z

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Observation f402d366-30cd-4120-8488-c0978b239947 · outbound

This paper cites Offline reinforcement learning as one big sequence modeling problem.

Decision Flow Policy Optimization Offline reinforcement learning as one big sequence modeling problem

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:45.883231Z

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Observation cecf9b24-9199-4a7a-a826-8c0511ff1539 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Decision Flow Policy Optimization Planning with Diffusion for Flexible Behavior Synthesis

Reference 42

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Observation 4861505a-1e2d-487c-a132-c445086446ce · outbound

This paper cites Efficient Planning in a Compact Latent Action Space.

Decision Flow Policy Optimization Efficient Planning in a Compact Latent Action Space

Reference 43

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Observation 2d8098ab-c4e2-459f-9614-4cfac6062659 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.

Decision Flow Policy Optimization Pyramidal flow matching for efficient video generative modeling

Reference 44

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Observation eb7e562b-9b99-433e-b89a-5d65b1f14354 · outbound

This paper cites Efficient diffusion policies for offline reinforcement learning.

Decision Flow Policy Optimization Efficient diffusion policies for offline reinforcement learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:45.709405Z

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Observation 147e7268-7bad-41a7-84cd-ca58fb1e5aa2 · outbound

This paper cites Morel: Model-based offline reinforcement learning.

Decision Flow Policy Optimization Morel: Model-based offline reinforcement learning

Reference 46

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Observation aade2317-0a92-436b-a2d0-33ca8966987f · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Decision Flow Policy Optimization Offline Reinforcement Learning with Implicit Q-Learning

Reference 47

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Observation bb3f2554-6bce-47e0-a4e2-e4fbd730a15e · outbound

This paper cites Stabilizing off- policy q-learning via bootstrapping error reduction.

Decision Flow Policy Optimization Stabilizing off- policy q-learning via bootstrapping error reduction

Reference 48

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Observation 913dcc55-4788-431b-bf37-de8794841bb8 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Decision Flow Policy Optimization Conservative q-learning for offline reinforcement learning

Reference 49

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Observation d507ba1f-1aec-4ef2-b44b-8ca0ebbcad97 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Decision Flow Policy Optimization Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 50

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Observation 4c22e361-d8f6-477d-9dbc-b58ce2e550ac · outbound

This paper cites DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching.

Decision Flow Policy Optimization DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching

Reference 51

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Observation 1a19bf54-4dc7-4172-b70c-84e0a8517511 · outbound

This paper cites Learning multimodal behaviors from scratch with diffusion policy gradient.

Decision Flow Policy Optimization Learning multimodal behaviors from scratch with diffusion policy gradient

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:45.570026Z

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Observation 65e40278-984b-4041-8211-9b2dc7e9e0a3 · outbound

This paper cites Efficient Planning with Latent Diffusion.

Decision Flow Policy Optimization Efficient Planning with Latent Diffusion

Reference 53

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Observation 38d867f4-4693-4e1b-81ca-6b0a6d249a75 · outbound

This paper cites Hierarchical diffusion for offline decision making.

Decision Flow Policy Optimization Hierarchical diffusion for offline decision making

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:45.411100Z

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Observation cfe9aa23-86c1-407b-90fc-015a29e29dcd · outbound

This paper cites Generative models in decision making: A survey.

Decision Flow Policy Optimization Generative models in decision making: A survey

Reference 55

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Observation 32e09caf-2a45-4896-9ecb-97a749b894da · outbound

This paper cites Flowvid: Taming imperfect optical flows for consistent video-to-video synthesis.

Decision Flow Policy Optimization Flowvid: Taming imperfect optical flows for consistent video-to-video synthesis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:45.229974Z

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Observation f3f5e4cf-2988-4a3b-8c56-6046e29e676e · outbound

This paper cites AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners.

Decision Flow Policy Optimization AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

Reference 57

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Observation 59e99e51-59f7-4256-8a97-fd6895b8c622 · outbound

This paper cites Dataset distillation for offline reinforcement learning.

Decision Flow Policy Optimization Dataset distillation for offline reinforcement learning

Reference 58

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:20:43.045019Z

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Observation ab098d77-bed5-4008-b1fa-e314f1024513 · outbound

This paper cites Flow Matching for Generative Modeling.

Decision Flow Policy Optimization Flow Matching for Generative Modeling

Reference 59

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Observation b8d5be13-e190-4420-89b9-8fb618ada7a5 · outbound

This paper cites Flow Matching Guide and Code.

Decision Flow Policy Optimization Flow Matching Guide and Code

Reference 60

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Observation 9233db61-bb90-43e3-804e-88b4e89d4d0b · outbound

This paper cites Generative Pre-training for Speech with Flow Matching.

Decision Flow Policy Optimization Generative Pre-training for Speech with Flow Matching

Reference 61

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Observation 4f762be6-8ef3-4a64-8971-1ee7b7732092 · outbound

This paper cites SelfBC: Self Behavior Cloning for Offline Reinforcement Learning.

Decision Flow Policy Optimization SelfBC: Self Behavior Cloning for Offline Reinforcement Learning

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:20:42.862741Z

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Observation bfb96da5-a6e1-454f-9a76-5ed920a99fc4 · outbound

This paper cites Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown.

Decision Flow Policy Optimization Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:39.668066Z

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Observation 5d8b44d6-4635-4d16-b8a7-05a935b8b799 · outbound

This paper cites Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning.

Decision Flow Policy Optimization Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

Reference 64

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Observation 8ad00c81-8a7f-4c6f-aa43-aa704d9760cd · outbound

This paper cites Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning.

Decision Flow Policy Optimization Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

Reference 65

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This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Decision Flow Policy Optimization AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 66

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This paper cites Normalizing flows for probabilistic modeling and inference.

Decision Flow Policy Optimization Normalizing flows for probabilistic modeling and inference

Reference 67

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This paper cites Flow Q-Learning.

Decision Flow Policy Optimization Flow Q-Learning

Reference 68

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This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Decision Flow Policy Optimization Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 69

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This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Decision Flow Policy Optimization Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 70

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This paper cites FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching.

Decision Flow Policy Optimization FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching

Reference 71

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This paper cites Offline reinforcement learning as anti-exploration.

Decision Flow Policy Optimization Offline reinforcement learning as anti-exploration

Reference 72

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Observation 1359d8ca-070a-490e-b627-436869ba5b16 · outbound

This paper cites Flow matching imitation learning for multi-support manipulation.

Decision Flow Policy Optimization Flow matching imitation learning for multi-support manipulation

Reference 73

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This paper cites Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning.

Decision Flow Policy Optimization Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning

Reference 74

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This paper cites Video prediction by modeling videos as continu- ous multi-dimensional processes.

Decision Flow Policy Optimization Video prediction by modeling videos as continu- ous multi-dimensional processes

Reference 75

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Observation a9556fd5-b4ff-43c3-ac7f-117dbc136841 · outbound

This paper cites Ensemble reinforcement learning: A survey.

Decision Flow Policy Optimization Ensemble reinforcement learning: A survey

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:44.775098Z

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Observation 21c57fae-dcc9-4d7d-b384-60b51ad6ebd2 · outbound

This paper cites Flowllm: Flow matching for material generation with large language models as base distributions.

Decision Flow Policy Optimization Flowllm: Flow matching for material generation with large language models as base distributions

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:44.668710Z

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Observation c137d2e6-7826-482f-a691-963b72e1096a · outbound

This paper cites Reinforcement learning: An introduction, volume 1.

Decision Flow Policy Optimization Reinforcement learning: An introduction, volume 1

Reference 78

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This paper cites Imitationflow: Learning deep stable stochastic dynamic systems by normalizing flows.

Decision Flow Policy Optimization Imitationflow: Learning deep stable stochastic dynamic systems by normalizing flows

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:44.526585Z

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This paper cites Deep reinforcement learning with double q-learning.

Decision Flow Policy Optimization Deep reinforcement learning with double q-learning

Reference 80

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This paper cites Matrix calculus operations and taylor expansions.

Decision Flow Policy Optimization Matrix calculus operations and taylor expansions

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:44.377627Z

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Observation 4abbb693-68da-4591-a9cf-10b94f6997cf · outbound

This paper cites Bootstrapped Transformer for Offline Reinforcement Learning.

Decision Flow Policy Optimization Bootstrapped Transformer for Offline Reinforcement Learning

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:20:42.534167Z

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Observation e161bd7c-6c5e-48ef-a647-89c905ddf6f5 · outbound

This paper cites Prioritized Generative Replay.

Decision Flow Policy Optimization Prioritized Generative Replay

Reference 83

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This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Decision Flow Policy Optimization Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 84

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Observation b99e1af5-4281-4452-af04-637c5620b629 · outbound

This paper cites Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl.

Decision Flow Policy Optimization Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:44.291215Z

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Observation 432d8a0e-306f-423c-b0bf-dd14ab8a6b5e · outbound

This paper cites A Behavior Regularized Implicit Policy for Offline Reinforcement Learning.

Decision Flow Policy Optimization A Behavior Regularized Implicit Policy for Offline Reinforcement Learning

Reference 86

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This paper cites Policy-to-language: Train llms to explain decisions with flow-matching generated rewards.

Decision Flow Policy Optimization Policy-to-language: Train llms to explain decisions with flow-matching generated rewards

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.429401Z

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This paper cites Flow to control: Offline reinforcement learning with lossless primitive discovery.

Decision Flow Policy Optimization Flow to control: Offline reinforcement learning with lossless primitive discovery

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:20:44.222293Z

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Observation f99fefd8-8556-41f7-a0d0-c7de39ef5974 · outbound

This paper cites Mopo: Model-based offline policy optimization.

Decision Flow Policy Optimization Mopo: Model-based offline policy optimization

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.575848Z

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Observation 1598d88e-dd30-43c9-beef-1edfb68bf0ce · outbound

This paper cites Combo: Conservative offline model-based policy optimization.

Decision Flow Policy Optimization Combo: Conservative offline model-based policy optimization

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.631335Z

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Observation 57bd9d08-6527-423c-9fec-719af8a1f20a · outbound

This paper cites Affordance-based robot manipulation with flow matching.

Decision Flow Policy Optimization Affordance-based robot manipulation with flow matching

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.678599Z

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Observation 0840203d-2792-4814-b7b9-6059b49ff997 · outbound

This paper cites SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.

Decision Flow Policy Optimization SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.739960Z

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Observation 863b8cb8-2f9d-4b82-9b87-409e89188567 · outbound

This paper cites Energy-Weighted Flow Matching for Offline Reinforcement Learning.

Decision Flow Policy Optimization Energy-Weighted Flow Matching for Offline Reinforcement Learning

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.812673Z

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Observation 1319d61f-646e-43b1-acc6-e301f0bad3a3 · outbound

This paper cites Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning.

Decision Flow Policy Optimization Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:20:42.215919Z

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Observation edd50545-d00f-4770-bc6e-9e6cce26abe9 · outbound

This paper cites Guided Flows for Generative Modeling and Decision Making.

Decision Flow Policy Optimization Guided Flows for Generative Modeling and Decision Making

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:41.964655Z

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This paper cites Open-Sora: Democratizing Efficient Video Production for All.

Decision Flow Policy Optimization Open-Sora: Democratizing Efficient Video Production for All

Reference 96

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