Tianwei Ni
7 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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The Questioner
(2)
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Reinforcement Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Methods
(3)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Applications
(1)
Clinical
(1)
Keywords
reinforcement learning
(2)
sample efficiency
(2)
partially observable markov decision process
(2)
imitation learning
(1)
policy gradient
(1)
self-supervised learning
(1)
policy learning
(1)
transformer
(1)
inverse reinforcement learning
(1)
boundary detection
(1)
reward function
(1)
collision avoidance
(1)
recurrent neural network
(1)
3d segmentation
(1)
world model
(1)
model-free reinforcement learning
(1)
credit assignment
(1)
3d medical image segmentation
(1)
auxiliary task
(1)
long-term dependency
(1)
Papers
Bridging State and History Representations: Understanding Self-Predictive RL
ICLR 2024
Do Transformer World Models Give Better Policy Gradients?
ICML 2024
Towards Disturbance-Free Visual Mobile Manipulation
WACV 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
NeurIPS 2023
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
ICML 2022
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
CoRL 2020
Elastic Boundary Projection for 3D Medical Image Segmentation
CVPR 2019