James Harrison
12 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (6)
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Academic Marathon
(6)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
🗃️
Keyword Collector
(53)
💎
Century Club
(12)
🔥
Unstoppable
(7)
📈
Trend Setter
Conferences
NIPS (5)
ICLR (3)
ICML (2)
L4DC (1)
RSS (1)
Top co-authors
Research topics
Keywords
learned optimizer
(2)
continual learning
(2)
deep reinforcement learning
(1)
multi-agent reinforcement learning
(1)
reinforcement learning
(1)
human-robot interaction
(1)
robot perception
(1)
markov decision process
(1)
sequential decision making
(1)
bipartite matching
(1)
permutation equivariance
(1)
neural network optimization
(1)
online learning
(1)
gradient estimation
(1)
representation learning
(1)
online optimization
(1)
variance reduction
(1)
off-policy learning
(1)
off-policy reinforcement learning
(1)
model compression
(1)
Papers
Bayesian Optimization via Continual Variational Last Layer Training
ICLR 2025
Offline Hierarchical Reinforcement Learning via Inverse Optimization
ICLR 2025
Variational Bayesian Last Layers
ICLR 2024
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
NIPS 2024
Universal Neural Functionals
NIPS 2024
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
ICML 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
NIPS 2023
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
L4DC 2023
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
NIPS 2022
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
ICML 2021
Continuous Meta-Learning without Tasks
NIPS 2020
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
RSS 2019