James Anderson
8 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Cross-Pollinator (15)
π
Grand Slam
Conferences
L4DC (3)
ICLR (2)
AAAI (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
multi-task learning
(2)
federated learning
(2)
regret analysis
(1)
representation learning
(1)
sample efficiency
(1)
online learning
(1)
policy gradient
(1)
natural policy gradient
(1)
distributed optimization
(1)
system identification
(1)
linear quadratic regulator
(1)
communication efficiency
(1)
adaptive control
(1)
geometric convergence
(1)
alternating direction method of multiplier
(1)
heterogeneous datum
(1)
linear system
(1)
newton method
(1)
markov parameter
(1)
linear-quadratic control
(1)
Papers
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
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
ICLR 2024
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
ICML 2024
Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR
L4DC 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
NIPS 2023
Learning Linear Models Using Distributed Iterative Hessian Sketching
L4DC 2022