Shane Legg
16 papers · 2007–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
The Namer
π
Grand Slam
π
Triple Crown
π
Keyword Champion
π§¬
Topic Evolution
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(74)
π
Century Club
(16)
Conferences
NIPS (5)
ICLR (3)
ICML (3)
IJCAI (2)
AAAI (1)
ACL (1)
ALT (1)
Top co-authors
Keywords
reward function
(4)
preference learning
(3)
inverse reinforcement learning
(3)
reinforcement learning
(2)
reward learning
(2)
deep reinforcement learning
(2)
value of information
(2)
human preference
(2)
multi-task learning
(1)
attention mechanism
(1)
q-learning
(1)
game theory
(1)
ai safety
(1)
imitation learning
(1)
temporal difference learning
(1)
trajectory optimization
(1)
sarsa
(1)
online learning
(1)
value function estimation
(1)
value iteration
(1)
Papers
Position: Levels of AGI for Operationalizing Progress on the Path to AGI
ICML 2024
Randomized Positional Encodings Boost Length Generalization of Transformers
ACL 2023
Neural Networks and the Chomsky Hierarchy
ICLR 2023
Agent Incentives: A Causal Perspective
AAAI 2021
Quantifying Differences in Reward Functions
ICLR 2021
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Pitfalls of Learning a Reward Function Online
IJCAI 2020
Meta-trained agents implement Bayes-optimal agents
NIPS 2020
Avoiding Side Effects By Considering Future Tasks
NIPS 2020
Noisy Networks For Exploration
ICLR 2018
Reward learning from human preferences and demonstrations in Atari
NIPS 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
ICML 2018
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss
ALT 2017
Reinforcement Learning with a Corrupted Reward Channel
IJCAI 2017
Deep Reinforcement Learning from Human Preferences
NIPS 2017
Temporal Difference Updating without a Learning Rate
NIPS 2007