Daniel Graves
4 papers · 2019–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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Keyword Champion
Venues
Top co-authors
Research topics
Deep Learning
(3)
Machine Learning
(3)
Reinforcement Learning
(3)
Methods
(3)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
reinforcement learning
(4)
value function
(3)
function approximation
(1)
autonomous driving
(1)
importance sampling
(1)
multi-agent learning
(1)
value function approximation
(1)
off-policy learning
(1)
temporal difference
(1)
replay buffer
(1)
proximal policy optimization
(1)
multi-agent simulation
(1)
behavior model
(1)
policy representation
(1)
deadly triad
(1)
importance resampling
(1)
policy embedding
(1)
generalized policy iteration
(1)
off-policy prediction
(1)
representation learning
(1)
Papers
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
AAAI 2022
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
AAAI 2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
CoRL 2020
Importance Resampling for Off-policy Prediction
NeurIPS 2019