Tom Everitt
16 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π¬
Deep Specialist
(10)
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Keyword Champion
(4)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(81)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Keywords
causal inference
(9)
influence diagram
(4)
game theory
(4)
markov decision process
(3)
ai safety
(3)
value of information
(2)
graphical model
(2)
agent system
(2)
agent incentive
(2)
world model
(2)
inverse reinforcement learning
(2)
policy learning
(2)
causal model
(2)
causal influence diagram
(2)
public policy
(1)
causal reasoning
(1)
function approximation
(1)
transfer learning
(1)
algorithmic fairness
(1)
causal discovery
(1)
Papers
General agents need world models
ICML 2025
The Limits of Predicting Agents from Behaviour
ICML 2025
Discovering Agents (Abstract Reprint)
AAAI 2024
Measuring Goal-Directedness
NeurIPS 2024
Reasoning about Causality in Games (Abstract Reprint)
AAAI 2024
Robust agents learn causal world models
ICLR 2024
Honesty Is the Best Policy: Defining and Mitigating AI Deception
NeurIPS 2023
Human Control: Definitions and Algorithms
UAI 2023
A Complete Criterion for Value of Information in Soluble Influence Diagrams
AAAI 2022
Path-Specific Objectives for Safer Agent Incentives
AAAI 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
AAAI 2022
Agent Incentives: A Causal Perspective
AAAI 2021
How RL Agents Behave When Their Actions Are Modified
AAAI 2021
AGI Safety Literature Review
IJCAI 2018
Count-Based Exploration in Feature Space for Reinforcement Learning
IJCAI 2017
Reinforcement Learning with a Corrupted Reward Channel
IJCAI 2017