James Anderson
9 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Grand Slam
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Keywords
multi-task learning
(3)
sample complexity
(3)
federated reinforcement learning
(2)
system identification
(2)
linear quadratic control
(2)
federated learning
(2)
adaptive control
(2)
sample efficiency
(1)
natural policy gradient
(1)
learning theory
(1)
policy gradient
(1)
online learning
(1)
distributed optimization
(1)
markov decision process
(1)
representation learning
(1)
hessian approximation
(1)
linear quadratic regulator
(1)
adversarial robustness
(1)
communication efficiency
(1)
linear function approximation
(1)
Papers
Adversarially Robust Multitask Adaptive Control
L4DC 2026
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
AAAI 2025
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
ICLR 2024
Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR
L4DC 2024
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
ICML 2024
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
ICLR 2024
FedSysID: A Federated Approach to Sample-Efficient System Identification
L4DC 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
NeurIPS 2023
Learning Linear Models Using Distributed Iterative Hessian Sketching
L4DC 2022