Pieter Abbeel
Professor
Develops deep reinforcement learning, imitation learning and unsupervised learning methods for robot learning.
Pieter Abbeel's lab at UC Berkeley works on manipulation & robot learning and reinforcement learning. 105 papers since 2023, 96 at top venues, mostly ICLR and ICML. Applications close .
At a glance
- papers, 2023–2026
- 27/ year
- at T1 venues
- 91%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 15 papers2026 · T1 13 · collecting
- 26 papers2025 · T1 21
- 32 papers2024 · T1 31
- 32 papers2023 · T1 31
T1 venuesOtherVenues: ICLR, ICML, NeurIPS, ICRA, IROS
Research focuspaper titles that use each topic's words
- Manipulation & robot learning46 papers
- Reinforcement learning41 papers
- imitation3 papers
- imitation learning2 papers
- unsupervised learning0 papers
Paper list
From DBLP.
202615 papers
- Sci. RoboticsA retrieval-augmented framework enabling VLM spatial awareness for object-centric robot manipulation (opens in a new tab)
- AAAI (T1)Cliqueformer: Model-Based Optimization with Structured Transformers (opens in a new tab)
- CVPR (T1)Contact-Aware Neural Dynamics (opens in a new tab)
- CVPR (T1)Cross-Hand Latent Representation for Vision-Language-Action Models (opens in a new tab)
- ICLR (T1)D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping (opens in a new tab)
- ICRA (T1)Deep Sensorimotor Control by Imitating Predictive Models of Human Motion (opens in a new tab)
- ICPRAMDeep Sensorimotor Control by Imitating Predictive Models of Human Motion: Leveraging Visual Understanding of Motion for Policy Learning (opens in a new tab)
- ICRA (T1)EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations (opens in a new tab)
- ICRA (T1)Learning to Design Soft Hands using Reward Models (opens in a new tab)
- ICRA (T1)OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction (opens in a new tab)
- ICLR (T1)Relative Entropy Pathwise Policy Optimization (opens in a new tab)
- ICRA (T1)Residual Off-Policy RL for Finetuning Behavior Cloning Policies (opens in a new tab)
202526 papers
- IEEE Trans. RoboticsA Dexterous and Compliant (DexCo) Hand Based on Soft Hydraulic Actuation for Human-Inspired Fine In-Hand Manipulation (opens in a new tab)
- NeurIPS (T1)A Stable Whitening Optimizer for Efficient Neural Network Training (opens in a new tab)
- ICRA (T1)Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding (opens in a new tab)
- NeurIPS (T1)Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners (opens in a new tab)
- ICML (T1)Chip Placement with Diffusion Models (opens in a new tab)
- NeurIPS (T1)Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)Compute-Optimal Scaling for Value-Based Deep RL (opens in a new tab)
- NeurIPS (T1)DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy (opens in a new tab)
- CVPR (T1)Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction (opens in a new tab)
- ICLR (T1)ElasticTok: Adaptive Tokenization for Image and Video (opens in a new tab)
- Int. J. Robotics Res.FMB: A functional manipulation benchmark for generalizable robotic learning (opens in a new tab)
- IROS (T1)Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm (opens in a new tab)
202432 papers
- NeurIPS (T1)A StrongREJECT for Empty Jailbreaks (opens in a new tab)
- RSS (T1)Any-point Trajectory Modeling for Policy Learning (opens in a new tab)
- CoRL (T1)Body Transformer: Leveraging Robot Embodiment for Policy Learning (opens in a new tab)
- ICLR (T1)Chain of Hindsight aligns Language Models with Feedback (opens in a new tab)
- ICRA (T1)Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs (opens in a new tab)
- ICLR (T1)DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing (opens in a new tab)
- IROS (T1)From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control (opens in a new tab)
- AISTATS (T1)Functional Graphical Models: Structure Enables Offline Data-Driven Optimization (opens in a new tab)
- IROS (T1)GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators (opens in a new tab)
- RSS (T1)HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation (opens in a new tab)
- ICML (T1)Learning a Diffusion Model Policy from Rewards via Q-Score Matching (opens in a new tab)
- ICLR (T1)Learning Interactive Real-World Simulators (opens in a new tab)
202332 papers
- NeurIPS (T1)Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration (opens in a new tab)
- NeurIPS (T1)AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation (opens in a new tab)
- ICLR (T1)Become a Proficient Player with Limited Data through Watching Pure Videos (opens in a new tab)
- NeurIPS (T1)Blockwise Parallel Transformers for Large Context Models (opens in a new tab)
- ICML (T1)CLUTR: Curriculum Learning via Unsupervised Task Representation Learning (opens in a new tab)
- ICML (T1)Controllability-Aware Unsupervised Skill Discovery (opens in a new tab)
- IROS (T1)Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects (opens in a new tab)
- ICLR (T1)Dichotomy of Control: Separating What You Can Control from What You Cannot (opens in a new tab)
- ICRA (T1)Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN (opens in a new tab)
- ICML (T1)Emergent Agentic Transformer from Chain of Hindsight Experience (opens in a new tab)
- ICML (T1)Guiding Pretraining in Reinforcement Learning with Large Language Models (opens in a new tab)
- AAAI (T1)Improving Long-Horizon Imitation through Instruction Prediction (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Data
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