Erdem Biyik
16 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(74)
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Research topics
Artificial Intelligence
(13)
Core AI
(11)
Reinforcement Learning
(10)
Machine Learning
(6)
Methods
(6)
Applications
(5)
Robotics
(4)
Capabilities
(4)
Learning Types
(4)
Core Methods
(2)
Learning Paradigms
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Keywords
active learning
(4)
reward learning
(4)
reinforcement learning
(3)
policy learning
(3)
preference learning
(3)
vision-language model
(2)
sample efficiency
(2)
reward function
(2)
text classification
(1)
curriculum learning
(1)
bayesian inference
(1)
collaborative filtering
(1)
motor control
(1)
in-context learning
(1)
human-robot interaction
(1)
hierarchical learning
(1)
autonomous driving
(1)
temporal dynamics
(1)
toxicity detection
(1)
multimodal learning
(1)
Papers
ORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language Models
CVPR 2026
NaVILA: Legged Robot Vision-Language-Action Model for Navigation
RSS 2025
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
CoRL 2025
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
EMNLP 2024
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
ICML 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
NeurIPS 2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
CoRL 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
ICML 2024
Trajectory Improvement and Reward Learning from Comparative Language Feedback
CoRL 2024
Assistive Teaching of Motor Control Tasks to Humans
NeurIPS 2022
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
AAAI 2022
Learning Multimodal Rewards from Rankings
CoRL 2021
Learning Reward Functions from Scale Feedback
CoRL 2021
Active Preference-Based Gaussian Process Regression for Reward Learning
RSS 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
RSS 2020
Batch Active Preference-Based Learning of Reward Functions
CoRL 2018