Anurag Ajay
11 papers · 2016–2024 · 4 venues · across top CS/AI venues
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offline reinforcement learning
(3)
off-policy learning
(2)
distribution shift
(2)
reinforcement learning
(2)
foundation model
(2)
continuous control
(2)
domain generalization
(1)
multimodal learning
(1)
imitation learning
(1)
hierarchical planning
(1)
value function approximation
(1)
empirical risk minimization
(1)
covariate shift
(1)
kalman filter
(1)
policy gradient
(1)
state estimation
(1)
decision making
(1)
partially observable markov decision process
(1)
episodic memory
(1)
bayesian inference
(1)
Papers
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
NeurIPS 2024
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
Compositional Foundation Models for Hierarchical Planning
NeurIPS 2023
Is Conditional Generative Modeling all you need for Decision Making?
ICLR 2023
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
ICML 2023
Statistical Learning under Heterogeneous Distribution Shift
ICML 2023
Distributionally Adaptive Meta Reinforcement Learning
NeurIPS 2022
Offline RL Policies Should Be Trained to be Adaptive
ICML 2022
Overcoming The Spectral Bias of Neural Value Approximation
ICLR 2022
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
ICLR 2021
Backprop KF: Learning Discriminative Deterministic State Estimators
NeurIPS 2016