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Daniel Graves — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniel Graves
9
papers ·
132
citations ·
11
h-index
National Bureau of Economic Research · Economic Policy Institute · Yale University
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Most-cited papers
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
2020 · 104 citations
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
2021 · 10 citations
Learning predictive representations in autonomous driving to improve deep reinforcement learning
2020 · 9 citations
Importance Resampling for Off-policy Prediction
2019 · 4 citations
Affordance as general value function: A computational model
2020 · 2 citations
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
2020 · 2 citations
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
2020 · 1 citations
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
2019
Efficient decorrelation of features using Gramian in Reinforcement Learning
2019
Top co-authors
Jun Luo
· 4
Yaodong Yang
· 3
Haitham Bou Ammar
· 2
Jianye Hao
· 2
Jun Jin
· 2
Kimia Hassanzadeh
· 2
Wulong Liu
· 2
Ying Wen
· 2
Alan Chan
· 1
Alan Chan
· 1
Alexander Cowen Rivers
· 1
Aurora Chongxi Huang
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Exploration
Offline RL
Game AI
Multi-Agent
Meta-RL