Anurag Ajay
11 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (8)
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Hot Topic Early Bird
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Renaissance Researcher
(6)
🌍
Conference Polyglot
(4)
🤝
Dynamic Duo
(10)
👑
Triple Crown
👥
Mega-Team
(24)
💎
Century Club
(11)
📈
Trend Setter
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The Questioner
🗃️
Keyword Collector
(57)
Conferences
NIPS (4)
ICLR (3)
ICML (3)
CVPR (1)
Top co-authors
Research topics
Keywords
distribution shift
(2)
foundation model
(2)
reinforcement learning
(2)
sample efficiency
(1)
bayesian inference
(1)
policy gradient
(1)
domain generalization
(1)
multimodal learning
(1)
empirical risk minimization
(1)
covariate shift
(1)
kalman filter
(1)
episodic memory
(1)
partially observable markov decision process
(1)
state estimation
(1)
inverse dynamics
(1)
continuous control
(1)
hierarchical planning
(1)
off-policy learning
(1)
off-policy reinforcement learning
(1)
offline reinforcement learning
(1)
Papers
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
NIPS 2024
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
ICML 2023
Compositional Foundation Models for Hierarchical Planning
NIPS 2023
Statistical Learning under Heterogeneous Distribution Shift
ICML 2023
Is Conditional Generative Modeling all you need for Decision Making?
ICLR 2023
Overcoming The Spectral Bias of Neural Value Approximation
ICLR 2022
Distributionally Adaptive Meta Reinforcement Learning
NIPS 2022
Offline RL Policies Should Be Trained to be Adaptive
ICML 2022
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
ICLR 2021
Backprop KF: Learning Discriminative Deterministic State Estimators
NIPS 2016