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Joshua Achiam — most-cited papers & profile · Reinforcement Learning
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overview
Joshua Achiam
5
papers ·
317
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Constrained Policy Optimization
2017 · 112 citations
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
2017 · 100 citations
Towards Characterizing Divergence in Deep Q-Learning
2019 · 61 citations
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
2020 · 44 citations
Easy Monotonic Policy Iteration
2016
Top co-authors
Pieter Abbeel
· 2
Adam Stooke
· 1
and Pieter Abbeel
· 1
Aviv Tamar
· 1
David Held
· 1
Ethan Knight
· 1
Shankar Sastry
· 1
Topics
Policy Gradient
Value-Based
Exploration
Safe RL
Model-Based RL