Pieter Abbeel
216 papers
· 2005–2026
· 15 conferences
· across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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Cross-Pollinator
(6)
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Academic Marathon
(20)
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Conference Polyglot
(15)
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Hot Topic Early Bird
π§
Keyword Pioneer
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(41)
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Keyword Trendsetter Combo
(26)
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Conference Loyalist
(23)
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Keyword Champion
(7)
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Deep Specialist
(16)
π±
Topic Pioneer
π€
Dynamic Duo
(35)
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Grand Slam
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Triple Crown
π₯
Mega-Team
(34)
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Trend Setter
β‘
Prolific Year
(21)
β
The Questioner
ποΈ
Keyword Collector
(188)
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Conference Pioneer
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Century Club
(215)
π₯
Unstoppable
(14)
Conferences
NIPS (61)
ICML (52)
ICLR (42)
CORL (23)
RSS (17)
AAAI (4)
CVPR (4)
JMLR (3)
ECCV (2)
IJCAI (2)
UAI (2)
AISTATS (1)
EMNLP (1)
ICCV (1)
L4DC (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(49)
imitation learning
(16)
representation learning
(14)
model-based reinforcement learning
(11)
robot manipulation
(10)
deep reinforcement learning
(10)
off-policy learning
(9)
transfer learning
(8)
autoregressive model
(8)
policy learning
(7)
continuous control
(7)
robotic manipulation
(7)
world model
(6)
policy gradient
(6)
contrastive learning
(6)
self-supervised learning
(6)
offline reinforcement learning
(5)
density estimation
(5)
variational inference
(5)
few-shot learning
(5)
Papers
Demonstrating MuJoCo Playground
RSS 2025
Value-Based Deep RL Scales Predictably
ICML 2025
Chip Placement with Diffusion Models
ICML 2025
Prioritized Generative Replay
ICLR 2025
One Step Diffusion via Shortcut Models
ICLR 2025
A StrongREJECT for Empty Jailbreaks
NIPS 2024
Twisting Lids Off with Two Hands
CORL 2024
Video Language Planning
ICLR 2024
Language-Conditioned Path Planning
CORL 2023
Masked World Models for Visual Control
CORL 2022
Deep Hierarchical Planning from Pixels
NIPS 2022
Reinforcement Learning with Latent Flow
NIPS 2021
Mastering Atari Games with Limited Data
NIPS 2021
Contrastive Code Representation Learning
EMNLP 2021
Task-Agnostic Morphology Evolution
ICLR 2021
MSA Transformer
ICML 2021
Visual Imitation Made Easy
CORL 2020
AvE: Assistance via Empowerment
NIPS 2020
Denoising Diffusion Probabilistic Models
NIPS 2020
Geometry-Aware Neural Rendering
NIPS 2019
ProMP: Proximal Meta-Policy Search
ICLR 2019
Compositional Plan Vectors
NIPS 2019
Guided Meta-Policy Search
NIPS 2019
Goal-conditioned Imitation Learning
NIPS 2019
Parameter Space Noise for Exploration
ICLR 2018
Evolved Policy Gradients
NIPS 2018
A Simple Neural Attentive Meta-Learner
ICLR 2018
META LEARNING SHARED HIERARCHIES
ICLR 2018
Mutual Alignment Transfer Learning
CORL 2017
The Off-Switch Game
IJCAI 2017
Value Iteration Networks
IJCAI 2017
One-Shot Imitation Learning
NIPS 2017
Constrained Policy Optimization
ICML 2017
Inverse Reward Design
NIPS 2017
Value Iteration Networks
NIPS 2016
Trust Region Policy Optimization
ICML 2015