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Chelsea Finn

Identifiers

  • name variant Chelsea Finn 0.60 · backfill

Papers (88)

  1. Freeform Preference Learning for Robotic Manipulation cs.RO · 2026 · author #4
  2. SPIRAL: Learning to Search and Aggregate cs.AI · 2026 · author #7
  3. Improving Robotic Generalist Policies via Flow Reversal Steering cs.RO · 2026 · author #4
  4. DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? cs.RO · 2026 · author #9
  5. CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA Policy cs.RO · 2026 · author #4
  6. Ego-Pi: VLA Fine-Tuning for Ego-Centric Human and Robot Data cs.RO · 2026 · author #7
  7. EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models cs.RO · 2026 · author #5
  8. Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cs.AI · 2026 · author #3
  9. Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics cs.RO · 2026 · author #55
  10. FASTER: Value-Guided Sampling for Fast RL cs.LG · 2026 · author #4
  11. Poly-EPO: Training Exploratory Reasoning Models cs.AI · 2026 · author #8
  12. ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities cs.LG · 2026 · author #23
  13. GIANTS: Generative Insight Anticipation from Scientific Literature cs.CL · 2026 · author #6
  14. World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry cs.LG · 2026 · author #8
  15. Meta-Harness: End-to-End Optimization of Model Harnesses cs.AI · 2026 · author #6
  16. RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies cs.RO · 2026 · author #7
  17. Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning cs.AI · 2026 · author #10
  18. $\pi^{*}_{0.6}$: a VLA That Learns From Experience cs.LG · 2025 · author #15
  19. Ctrl-World: A Controllable Generative World Model for Robot Manipulation cs.RO · 2025 · author #4
  20. Value Flows cs.LG · 2025 · author #3
  21. Polychromic Objectives for Reinforcement Learning cs.LG · 2025 · author #4
  22. EXPO: Stable Reinforcement Learning with Expressive Policies cs.LG · 2025 · author #4
  23. $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization cs.LG · 2025 · author #9
  24. CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models cs.CV · 2025 · author #10
  25. Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success cs.RO · 2025 · author #2
  26. Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models cs.RO · 2025 · author #15
  27. FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users cs.LG · 2025 · author #8
  28. FAST: Efficient Action Tokenization for Vision-Language-Action Models cs.RO · 2025 · author #8
  29. Test-Time Alignment via Hypothesis Reweighting cs.LG · 2024 · author #7
  30. $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control cs.LG · 2024 · author #6
  31. Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents cs.AI · 2024 · author #5
  32. Robotic Control via Embodied Chain-of-Thought Reasoning cs.RO · 2024 · author #5
  33. OpenVLA: An Open-Source Vision-Language-Action Model cs.RO · 2024 · author #18
  34. Octo: An Open-Source Generalist Robot Policy cs.RO · 2024 · author #18
  35. Evaluating Real-World Robot Manipulation Policies in Simulation cs.RO · 2024 · author #13
  36. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset cs.RO · 2024 · author #101
  37. Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cs.LG · 2024 · author #4
  38. Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation cs.RO · 2024 · author #3
  39. Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models cs.RO · 2023 · author #5
  40. Open X-Embodiment: Robotic Learning Datasets and RT-X Models cs.RO · 2023 · author #41
  41. Analyzing and Mitigating Object Hallucination in Large Vision-Language Models cs.LG · 2023 · author #6
  42. RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control cs.RO · 2023 · author #10
  43. Direct Preference Optimization: Your Language Model is Secretly a Reward Model cs.LG · 2023 · author #6
  44. Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware cs.RO · 2023 · author #4
  45. RT-1: Robotics Transformer for Real-World Control at Scale cs.RO · 2022 · author #6
  46. Do As I Can, Not As I Say: Grounding Language in Robotic Affordances cs.RO · 2022 · author #7
  47. R3M: A Universal Visual Representation for Robot Manipulation cs.RO · 2022 · author #4
  48. Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets cs.RO · 2021 · author #7
  49. On the Opportunities and Risks of Foundation Models cs.LG · 2021 · author #27
  50. RoboNet: Large-Scale Multi-Robot Learning cs.RO · 2019 · author #9
  51. Training an Interactive Helper cs.AI · 2019 · author #2
  52. End-to-End Robotic Reinforcement Learning without Reward Engineering cs.LG · 2019 · author #4
  53. Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight cs.RO · 2019 · author #4
  54. Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables cs.LG · 2019 · author #4
  55. Manipulation by Feel: Touch-Based Control with Deep Predictive Models cs.RO · 2019 · author #5
  56. NoRML: No-Reward Meta Learning cs.LG · 2019 · author #5
  57. Online Meta-Learning cs.LG · 2019 · author #1
  58. Unsupervised Visuomotor Control through Distributional Planning Networks cs.RO · 2019 · author #4
  59. Reasoning About Physical Interactions with Object-Oriented Prediction and Planning cs.LG · 2018 · author #5
  60. Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL cs.LG · 2018 · author #2
  61. Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control cs.RO · 2018 · author #2
  62. One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks cs.LG · 2018 · author #4
  63. Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning cs.RO · 2018 · author #5
  64. Unsupervised Learning via Meta-Learning cs.LG · 2018 · author #3
  65. Few-Shot Goal Inference for Visuomotor Learning and Planning cs.LG · 2018 · author #4
  66. Stochastic Adversarial Video Prediction cs.CV · 2018 · author #5
  67. Universal Planning Networks cs.LG · 2018 · author #5
  68. Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning cs.LG · 2018 · author #7
  69. Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods cs.RO · 2018 · author #4
  70. One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning cs.LG · 2018 · author #2
  71. Recasting Gradient-Based Meta-Learning as Hierarchical Bayes cs.LG · 2018 · author #2
  72. Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm cs.LG · 2017 · author #1
  73. Stochastic Variational Video Prediction cs.CV · 2017 · author #2
  74. Self-Supervised Visual Planning with Temporal Skip Connections cs.RO · 2017 · author #2
  75. One-Shot Visual Imitation Learning via Meta-Learning cs.LG · 2017 · author #1
  76. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks cs.LG · 2017 · author #1
  77. Active One-shot Learning cs.LG · 2017 · author #2
  78. Generalizing Skills with Semi-Supervised Reinforcement Learning cs.LG · 2016 · author #1
  79. A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models cs.LG · 2016 · author #1
  80. Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States cs.LG · 2016 · author #3
  81. Deep Visual Foresight for Planning Robot Motion cs.LG · 2016 · author #1
  82. Unsupervised Learning for Physical Interaction through Video Prediction cs.LG · 2016 · author #1
  83. Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization cs.LG · 2016 · author #1
  84. Adapting Deep Visuomotor Representations with Weak Pairwise Constraints cs.CV · 2015 · author #4
  85. Deep Spatial Autoencoders for Visuomotor Learning cs.LG · 2015 · author #1
  86. Learning Deep Neural Network Policies with Continuous Memory States cs.LG · 2015 · author #3
  87. End-to-End Training of Deep Visuomotor Policies cs.LG · 2015 · author #2
  88. Learning Compact Convolutional Neural Networks with Nested Dropout cs.CV · 2014 · author #1

Mentions

  • 2606.32027 #4 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2606.23595 #7 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2606.13675 #4 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2606.12402 #9 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2606.12352 #4 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2606.08107 #7 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 1511.07111 #4 · backfill · confidence 0.70 Chelsea Finn
  • 1509.06113 #1 · backfill · confidence 0.70 Chelsea Finn
  • 2604.21017 #55 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 1507.01273 #3 · backfill · confidence 0.70 Chelsea Finn
  • 1504.00702 #2 · backfill · confidence 0.70 Chelsea Finn
  • 1412.7155 #1 · backfill · confidence 0.70 Chelsea Finn
  • 2510.07650 #3 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2604.01985 #8 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2605.25477 #5 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2408.07199 #5 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2603.04639 #7 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2310.00754 #6 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 1910.11215 #9 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2402.11411 #4 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2310.10639 #5 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2503.22020 #10 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2510.10125 #4 · arxiv_oai · confidence 0.70 Chelsea Finn
  • 2502.19417 #15 · arxiv_oai · confidence 0.70 Chelsea Finn

Frequent Coauthors