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Joar Skalse — most-cited papers & profile · Reinforcement Learning
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Joar Skalse
10
papers ·
7
citations
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Most-cited papers
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
2022 · 3 citations
Misspecification in Inverse Reinforcement Learning
2022 · 2 citations
Goodhart's Law in Reinforcement Learning
2023 · 1 citations
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
2024 · 1 citations
STARC: A General Framework For Quantifying Differences Between Reward Functions
2023
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning
2023
On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal Tasks
2024
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
2024
Partial Identifiability and Misspecification in Inverse Reinforcement Learning
2024
Partial Identifiability in Inverse Reinforcement Learning For Agents With Non-Exponential Discounting
2024
Top co-authors
Alessandro Abate
· 6
Adam Gleave
· 2
Alessandro Abate
· 2
Charlie Griffin
· 2
David Krueger
· 1
Erik Jenner
· 1
Halfdan Holm
· 1
Jacek Karwowski
· 1
Klaus Kiendlhofer
· 1
Leon Lang
· 1
Lucy Farnik
· 1
Lukas Fluri
· 1
Topics
Model-Based RL
RLHF & Alignment
Safe RL
Multi-Agent
Policy Gradient
Offline RL
Value-Based