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19 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (27) π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π
Triple Crown
π€
Dynamic Duo
(14)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(91)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(15)
Machine Learning
(11)
Methods
(10)
Artificial Intelligence
(9)
Applications
(9)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(5)
Robotics
(3)
Capabilities
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Learning Paradigms
(2)
Models
(2)
Computer Vision
(1)
Keywords
model-based reinforcement learning
(3)
reinforcement learning
(3)
imitation learning
(3)
world model
(3)
representation learning
(3)
self-supervised learning
(2)
robotic manipulation
(2)
state entropy
(2)
intrinsic reward
(2)
dynamics model
(2)
vision transformer
(1)
data augmentation
(1)
video understanding
(1)
temporal information
(1)
semi-supervised learning
(1)
video prediction
(1)
sample efficiency
(1)
vector quantization
(1)
behavior cloning
(1)
robot learning
(1)
Papers
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction
CVPR 2025
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
CoRL 2024
Continuous Control with Coarse-to-fine Reinforcement Learning
CoRL 2024
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
RSS 2024
Visual Representation Learning with Stochastic Frame Prediction
ICML 2024
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
NeurIPS 2023
Guide Your Agent with Adaptive Multimodal Rewards
NeurIPS 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
ICLR 2023
Multi-View Masked World Models for Visual Robotic Manipulation
ICML 2023
Masked World Models for Visual Control
CoRL 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
ICML 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
ICLR 2022
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
NeurIPS 2021
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
NeurIPS 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
CoRL 2021
State Entropy Maximization with Random Encoders for Efficient Exploration
ICML 2021
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
ICML 2020
Learning What to Defer for Maximum Independent Sets
ICML 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
NeurIPS 2020