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Joel W. Burdick — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Joel W. Burdick
8
papers ·
101
citations ·
71
h-index
California Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
2019 · 43 citations
Control Regularization for Reduced Variance Reinforcement Learning
2019 · 39 citations
Meta Inverse Reinforcement Learning via Maximum Reward Sharing for Human Motion Analysis
2017 · 7 citations
A Function Approximation Method for Model-based High-Dimensional Inverse Reinforcement Learning
2017 · 6 citations
Inverse Reinforcement Learning in Large State Spaces via Function Approximation
2017 · 4 citations
Bellman Gradient Iteration for Inverse Reinforcement Learning
2017 · 2 citations
Top co-authors
Kun Li
· 3
Gabor Orosz
· 2
Richard Cheng
· 2
Abhinav Verma
· 1
Kun Li
· 1
Richard M. Murray
· 1
Swarat Chaudhuri
· 1
Yanan Sui
· 1
Yisong Yue
· 1
Topics
Model-Based RL
Policy Gradient
Value-Based
Offline RL
Safe RL
Meta-RL
Exploration