Jonathan How
7 papers · 2014–2021 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(7)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(11)
🏆
Keyword Champion
📈
Trend Setter
🚀
Conference Pioneer
Conferences
RSS (4)
ICML (2)
AAAI (1)
Top co-authors
Keywords
gaussian process
(2)
online learning
(1)
landmark selection
(1)
policy optimization
(1)
real-time control
(1)
policy gradient
(1)
risk-aware planning
(1)
model fusion
(1)
model-free reinforcement learning
(1)
importance sampling
(1)
policy search
(1)
partially observable markov decision process
(1)
model-based reinforcement learning
(1)
budgeted optimization
(1)
probabilistic modeling
(1)
submodular maximization
(1)
approximation algorithm
(1)
information gain
(1)
sample efficiency
(1)
multi-agent reinforcement learning
(1)
Papers
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
ICML 2021
Collision Probabilities for Continuous-Time Systems Without Sampling
RSS 2020
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
AAAI 2019
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection
RSS 2018
Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation
RSS 2015
Policy Search for Multi-Robot Coordination under Uncertainty
RSS 2015
Sample Efficient Reinforcement Learning with Gaussian Processes
ICML 2014