Edward Hughes
13 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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๐บ๏ธ Taxonomy Completionist (20) ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Cross-Pollinator (13) ๐ Interdisciplinary Bridge
๐
Conference Polyglot
(4)
๐
Academic Marathon
(6)
๐ฅ
Mega-Team
(27)
๐
Century Club
(13)
Conferences
ICML (5)
NIPS (4)
ICLR (3)
IJCAI (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(5)
in-context learning
(2)
markov game
(2)
zero-shot learning
(1)
bayesian inference
(1)
attention mechanism
(1)
transfer learning
(1)
social learning
(1)
resource allocation
(1)
meta-reinforcement learning
(1)
counterfactual reasoning
(1)
generational learning
(1)
reward shaping
(1)
social dilemma
(1)
cultural accumulation
(1)
mutual information
(1)
imitation learning
(1)
open-ended learning
(1)
in-weights learning
(1)
reinforcement learning
(1)
Papers
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
ICML 2024
Genie: Generative Interactive Environments
ICML 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
NIPS 2024
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
IJCAI 2024
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
Collaborating with Humans without Human Data
NIPS 2021
A Generalized Training Approach for Multiagent Learning
ICLR 2020
Learning to Incentivize Other Learning Agents
NIPS 2020
Smooth markets: A basic mechanism for organizing gradient-based learners
ICLR 2020
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
ICML 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
ICML 2019
Learning to Understand Goal Specifications by Modelling Reward
ICLR 2019
Inequity aversion improves cooperation in intertemporal social dilemmas
NIPS 2018