Ian Osband
20 papers · 2013–2023 · 5 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)
🌈
Renaissance Researcher
(5)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(14)
🏆
Keyword Champion
(3)
👑
Triple Crown
🗃️
Keyword Collector
(67)
❓
The Questioner
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(20)
🔥
Unstoppable
(8)
Conferences
NIPS (8)
ICLR (4)
ICML (4)
UAI (3)
JMLR (1)
Top co-authors
Keywords
regret bound
(7)
reinforcement learning
(6)
markov decision process
(4)
posterior sampling
(4)
uncertainty estimation
(3)
randomized value function
(3)
joint prediction
(3)
posterior distribution
(2)
neural network
(2)
deep reinforcement learning
(2)
epistemic neural network
(2)
value iteration
(2)
predictive distribution
(2)
ensemble method
(2)
regret minimization
(1)
game theory
(1)
markov decision processes
(1)
multi-agent reinforcement learning
(1)
supervised learning
(1)
exploration
(1)
Papers
Approximate Thompson Sampling via Epistemic Neural Networks
UAI 2023
Epistemic Neural Networks
NIPS 2023
The Neural Testbed: Evaluating Joint Predictions
NIPS 2022
Evaluating high-order predictive distributions in deep learning
UAI 2022
Matrix games with bandit feedback
UAI 2021
Hypermodels for Exploration
ICLR 2020
Making Sense of Reinforcement Learning and Probabilistic Inference
ICLR 2020
Behaviour Suite for Reinforcement Learning
ICLR 2020
Deep Exploration via Randomized Value Functions
JMLR 2019
Noisy Networks For Exploration
ICLR 2018
The Uncertainty Bellman Equation and Exploration
ICML 2018
Randomized Prior Functions for Deep Reinforcement Learning
NIPS 2018
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
NIPS 2018
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
ICML 2017
Minimax Regret Bounds for Reinforcement Learning
ICML 2017
Generalization and Exploration via Randomized Value Functions
ICML 2016
Deep Exploration via Bootstrapped DQN
NIPS 2016
Model-based Reinforcement Learning and the Eluder Dimension
NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs
NIPS 2014
(More) Efficient Reinforcement Learning via Posterior Sampling
NIPS 2013