Adaptation of Generalist Robot Policies with Minimal Data | Paper Citation Record

Observation d2d59de3-dff4-4ed1-9e1d-dd615f5ab0d2 · outbound

This paper cites From Imitation to Refinement -- Residual RL for Precise Assembly.

Adaptation of Generalist Robot Policies with Minimal Data From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 1

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Observation ffb0d440-7a5e-462b-a7c1-f7f47716e27b · outbound

This paper cites Residual off-policy rl for finetuning behavior cloning policies, 2025.

Adaptation of Generalist Robot Policies with Minimal Data Residual off-policy rl for finetuning behavior cloning policies, 2025

Reference 2

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Observation e5dd80fd-5be6-4a0d-b139-5490428dff10 · outbound

This paper cites Efficient Online Reinforcement Learning with Offline Data.

Adaptation of Generalist Robot Policies with Minimal Data Efficient Online Reinforcement Learning with Offline Data

Reference 3

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Observation dfc27b98-e8ad-4c93-b03e-3bda47c1694a · outbound

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

Adaptation of Generalist Robot Policies with Minimal Data $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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Observation 19cfe6fe-6314-4811-950f-0fc602e911f9 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Adaptation of Generalist Robot Policies with Minimal Data RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 5

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Observation 2d591859-3b39-448f-bca3-9dfdba9cfb04 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Adaptation of Generalist Robot Policies with Minimal Data RT-1: Robotics Transformer for Real-World Control at Scale

Reference 6

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Observation 371356fd-3eff-42f7-ac40-dceb42c589ff · outbound

This paper cites Language models are few-shot learners.

Adaptation of Generalist Robot Policies with Minimal Data Language models are few-shot learners

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:51.644915Z

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Observation 8142044c-e9fc-4c21-aaaa-65f370aa0c6d · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

Adaptation of Generalist Robot Policies with Minimal Data Emerging Properties in Self-Supervised Vision Transformers

Reference 8

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Observation a2712e93-6726-4f5f-a7f2-c50ed3de7581 · outbound

This paper cites Causal confusion in imitation learning.

Adaptation of Generalist Robot Policies with Minimal Data Causal confusion in imitation learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:51.627380Z

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Observation a19d1fb8-0b8d-4314-853b-29fe9cc380ef · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Adaptation of Generalist Robot Policies with Minimal Data BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 10

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Observation 44fcc2b5-fc10-49e6-84f1-abdf3f47816c · outbound

This paper cites EXPO: Stable Reinforcement Learning with Expressive Policies.

Adaptation of Generalist Robot Policies with Minimal Data EXPO: Stable Reinforcement Learning with Expressive Policies

Reference 11

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Observation 7a33053a-e99b-4aff-b368-028aa7ab6bb5 · outbound

This paper cites One-Shot Imitation Learning.

Adaptation of Generalist Robot Policies with Minimal Data One-Shot Imitation Learning

Reference 12

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Observation a434c255-ed5a-4f7e-978c-744346feb2a1 · outbound

This paper cites One-Shot Visual Imitation Learning via Meta-Learning.

Adaptation of Generalist Robot Policies with Minimal Data One-Shot Visual Imitation Learning via Meta-Learning

Reference 13

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Observation cb1ab642-0863-4956-862a-f3232ae76c35 · outbound

This paper cites A minimalist approach to offline reinforcement learning,.

Adaptation of Generalist Robot Policies with Minimal Data A minimalist approach to offline reinforcement learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:51.608604Z

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Observation 526274dd-3e0b-4d21-b315-7afc49e5f538 · outbound

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

Adaptation of Generalist Robot Policies with Minimal Data Addressing Function Approximation Error in Actor-Critic Methods

Reference 15

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Observation 16041ca8-a6dc-49ad-a75f-9b7e89a93b0c · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

Adaptation of Generalist Robot Policies with Minimal Data Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 16

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Observation 99af61fe-e5c2-4e1d-bc49-0bf3a6bbfa90 · outbound

This paper cites Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations.

Adaptation of Generalist Robot Policies with Minimal Data Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 17

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Observation 379ac8cd-2111-4833-b9ba-e3cf61e3b845 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adaptation of Generalist Robot Policies with Minimal Data LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

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Observation 11549360-2aaa-4b05-9814-b85366f6f68e · outbound

This paper cites Imitation Bootstrapped Reinforcement Learning.

Adaptation of Generalist Robot Policies with Minimal Data Imitation Bootstrapped Reinforcement Learning

Reference 19

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Observation ea8b0b21-1d12-4121-9a33-231096fc8b7b · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Adaptation of Generalist Robot Policies with Minimal Data $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:48.332342Z

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Observation 3e50373e-d61d-4f67-97a3-733adb3bb4c7 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Adaptation of Generalist Robot Policies with Minimal Data Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 21

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Observation bea1e437-42e4-42ca-8d23-9b037facdbe1 · outbound

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

Adaptation of Generalist Robot Policies with Minimal Data Offline Reinforcement Learning with Implicit Q-Learning

Reference 22

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Observation cc07b852-5de6-4c64-96d9-5f408a3308cd · outbound

This paper cites Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials.

Adaptation of Generalist Robot Policies with Minimal Data Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:48.431134Z

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Observation 62ead38a-436e-43f5-9c4e-24d15d039175 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Adaptation of Generalist Robot Policies with Minimal Data LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 24

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Observation becd48b7-16c0-43b4-9b1f-a2ba0c1eda03 · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,.

Adaptation of Generalist Robot Policies with Minimal Data Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:51.591925Z

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Observation 7854f3c6-0821-42fa-892d-74017b898ea1 · outbound

This paper cites SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Adaptation of Generalist Robot Policies with Minimal Data SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 26

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Observation ade8d8dd-59e8-4d12-b661-e9019c6d7f85 · outbound

This paper cites Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone.

Adaptation of Generalist Robot Policies with Minimal Data Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone

Reference 27

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Observation 563fd47d-7b06-4cb3-bc5e-fde2868d5aea · outbound

This paper cites Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning,.

Adaptation of Generalist Robot Policies with Minimal Data Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:51.577783Z

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Observation 4f57c9bc-df85-46b2-af56-98275fb3781d · outbound

This paper cites Robocasa365: A large- scale simulation framework for training and benchmarking generalist robots, 2026.

Adaptation of Generalist Robot Policies with Minimal Data Robocasa365: A large- scale simulation framework for training and benchmarking generalist robots, 2026

Reference 29

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Observation 9cbc696c-95c1-4448-8d40-e4c9632b1613 · outbound

This paper cites Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics.

Adaptation of Generalist Robot Policies with Minimal Data Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 30

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Observation f76fbef3-3a08-4de1-9376-e884ec0d969a · outbound

This paper cites Much ado about noising: Dispelling the myths of generative robotic control, 2026.

Adaptation of Generalist Robot Policies with Minimal Data Much ado about noising: Dispelling the myths of generative robotic control, 2026

Reference 31

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Observation 202e891e-1e7a-4dc9-a203-503cde2e9e67 · outbound

This paper cites OGPO: Sample Efficient Full-Finetuning of Generative Control Policies.

Adaptation of Generalist Robot Policies with Minimal Data OGPO: Sample Efficient Full-Finetuning of Generative Control Policies

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:18:49.830279Z

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Observation 7bb5dd2d-2719-49ef-a534-13019b5b6099 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Adaptation of Generalist Robot Policies with Minimal Data Learning Transferable Visual Models From Natural Language Supervision

Reference 33

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Observation 4e6290d2-d37e-4ca2-b505-b67daf5a74ee · outbound

This paper cites Diffusion Policy Policy Optimization.

Adaptation of Generalist Robot Policies with Minimal Data Diffusion Policy Policy Optimization

Reference 34

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Observation 3fe86093-37d7-4d1f-8af9-7882b8955f8c · outbound

This paper cites From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning.

Adaptation of Generalist Robot Policies with Minimal Data From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

Reference 36

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Observation 1f8c658b-de06-4750-8d8a-2867e5bbc758 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Adaptation of Generalist Robot Policies with Minimal Data Octo: An Open-Source Generalist Robot Policy

Reference 37

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Observation 49f722ad-5424-4c3f-a4c2-c53d2b8f9e96 · outbound

This paper cites Instant policy: In-context imitation learning via graph diffusion,.

Adaptation of Generalist Robot Policies with Minimal Data Instant policy: In-context imitation learning via graph diffusion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:51.562903Z

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Observation ae7ea45b-dd15-46c2-9cc1-034163b52939 · outbound

This paper cites Steering Your Diffusion Policy with Latent Space Reinforcement Learning.

Adaptation of Generalist Robot Policies with Minimal Data Steering Your Diffusion Policy with Latent Space Reinforcement Learning

Reference 39

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Observation 456b9199-b326-4175-bc6a-755f4f27bfe5 · outbound

This paper cites RL Token: Bootstrapping Online RL with Vision-Language-Action Models.

Adaptation of Generalist Robot Policies with Minimal Data RL Token: Bootstrapping Online RL with Vision-Language-Action Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:49.113642Z

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Observation 21940322-246e-4b1c-8234-750908d9700c · outbound

This paper cites World Action Models are Zero-shot Policies.

Adaptation of Generalist Robot Policies with Minimal Data World Action Models are Zero-shot Policies

Reference 41

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Observation c2fd2877-bdea-4da8-ad51-481ae82e707e · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Adaptation of Generalist Robot Policies with Minimal Data Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 42

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Observation 6be05a0b-b142-4d13-8387-de8bf92f0f86 · outbound

This paper cites LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization.

Adaptation of Generalist Robot Policies with Minimal Data LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization

Reference 43

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Observation 4f2593d6-f2cd-4636-9564-1503e6d0e416 · outbound

This paper cites Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data.

Adaptation of Generalist Robot Policies with Minimal Data Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data

Reference 44

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Observation a9563c02-4494-4e24-9567-2f23f427e2fb · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 49

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Observation 848fbd74-6ddb-4dd7-a944-5185ac6da6d6 · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 50

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Observation 1691892f-18cf-4e2a-b1f3-2444c12c473a · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 51

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 52

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 53

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Observation ddc76809-9685-454e-9a8a-c41b1ffadbb3 · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 54

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Observation c93fc242-5726-4f73-bdaf-09bce24cb3e5 · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 55

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Observation c4e5a30f-5d0d-4891-9768-4e39fa1012a8 · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 56

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Observation ec8916a0-f62b-41b3-a50a-2897e501483b · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 57

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Observation 037d79fd-aef8-4a53-91f3-e68f440551f4 · outbound

This paper cites The environment provides two camera views: anagentview third-person camera and arobot0_eye_in_hand wrist camera, both rendered at224×224 pixels.

Adaptation of Generalist Robot Policies with Minimal Data The environment provides two camera views: anagentview third-person camera and arobot0_eye_in_hand wrist camera, both rendered at224×224 pixels

Reference 58

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:18:50.670196Z

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Observation f9b96d75-9d40-4c71-8edb-a60087595ef2 · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 59

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Observation 065b2a31-1e7d-4d22-956e-83049b5ad771 · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:18:50.499971Z

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Observation 687da93d-e840-4758-bf7c-809abfed138c · outbound

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Adaptation of Generalist Robot Policies with Minimal Data Unresolved cited work

Reference 61

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Observation f7475807-4e85-4590-bf59-f67cf3b1d219 · outbound

This paper cites put both moka pots on the stove.

Adaptation of Generalist Robot Policies with Minimal Data put both moka pots on the stove

Reference 62

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:18:50.417637Z

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Observation 61b10ed1-9ae2-45d1-8141-b71daf5abac4 · outbound

This paper cites A Minimalist Approach to Offline Reinforcement Learning.

Adaptation of Generalist Robot Policies with Minimal Data A Minimalist Approach to Offline Reinforcement Learning

Reference 2021

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Observation 193cefd7-3f0f-42e8-9787-cddafb633b3a · outbound

This paper cites Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.

Adaptation of Generalist Robot Policies with Minimal Data Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

Reference 2022

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Observation ddf1f8fd-8ac0-4cd9-b3fb-66f404bbb26a · outbound

This paper cites Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning.

Adaptation of Generalist Robot Policies with Minimal Data Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Reference 2024

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Observation 60080b21-aa3a-4ccf-9acd-37534f92d017 · outbound

This paper cites Instant Policy: In-Context Imitation Learning via Graph Diffusion.

Adaptation of Generalist Robot Policies with Minimal Data Instant Policy: In-Context Imitation Learning via Graph Diffusion

Reference 2025

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