Erdem Biyik
15 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(15)
🏆
Keyword Champion
🧬
Topic Evolution
⚡
Prolific Year
(6)
💎
Century Club
(15)
📈
Trend Setter
Conferences
CORL (6)
RSS (3)
ICML (2)
NIPS (2)
AAAI (1)
EMNLP (1)
Top co-authors
Keywords
active learning
(4)
preference learning
(3)
reward learning
(3)
reinforcement learning
(2)
in-context learning
(1)
temporal dynamics
(1)
text classification
(1)
curriculum learning
(1)
bayesian inference
(1)
collaborative filtering
(1)
motor control
(1)
policy learning
(1)
multimodal learning
(1)
toxicity detection
(1)
autonomous driving
(1)
hierarchical learning
(1)
human-robot interaction
(1)
hierarchical reinforcement learning
(1)
gaussian process regression
(1)
vision-language navigation
(1)
Papers
NaVILA: Legged Robot Vision-Language-Action Model for Navigation
RSS 2025
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
CORL 2025
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
ICML 2024
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
EMNLP 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
ICML 2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
CORL 2024
Trajectory Improvement and Reward Learning from Comparative Language Feedback
CORL 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
NIPS 2024
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
AAAI 2022
Assistive Teaching of Motor Control Tasks to Humans
NIPS 2022
Learning Reward Functions from Scale Feedback
CORL 2021
Learning Multimodal Rewards from Rankings
CORL 2021
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
RSS 2020
Active Preference-Based Gaussian Process Regression for Reward Learning
RSS 2020
Batch Active Preference-Based Learning of Reward Functions
CORL 2018