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← Authors

Hado van Hasselt

20 papers · 2011–2025 · 5 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (14)
🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (26) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (66) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

AAAI (7) ICLR (6) ICML (5) JMLR (1) NIPS (1)

Top co-authors

Matteo Hessel (8) David Silver (8) Simon Schmitt (5) Satinder Singh (3) John Shawe-Taylor (3) Ray Jiang (3) Diana Borsa (2) Ivo Danihelka (2) Andre Barreto (2) Charles Blundell (2)

Research topics

Reinforcement Learning (1)

Keywords

reinforcement learning (7) temporal difference learning (4) off-policy learning (3) function approximation (3) deep reinforcement learning (3) policy optimization (2) value iteration (2) atari game (2) temporal-difference learning (2) epistemic uncertainty (2) neural network (2) deep learning (1) policy learning (1) markov decision process (1) model-based learning (1) bayesian inference (1) policy iteration (1) uncertainty quantification (1) exploration exploitation (1) value function (1)

Papers

Wasserstein Policy Optimization ICML 2025 General Uncertainty Estimation with Delta Variances AAAI 2025 Scalable Meta-Learning via Mixed-Mode Differentiation ICML 2025 Normalization and effective learning rates in reinforcement learning NIPS 2024 Exploration via Epistemic Value Estimation AAAI 2023 Human-level Atari 200x faster ICLR 2023 Bootstrapped Meta-Learning ICLR 2022 Learning Expected Emphatic Traces for Deep RL AAAI 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022 Chaining Value Functions for Off-Policy Learning AAAI 2022 Learning by Directional Gradient Descent ICLR 2022 Expected Eligibility Traces AAAI 2021 Muesli: Combining Improvements in Policy Optimization ICML 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Behaviour Suite for Reinforcement Learning ICLR 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 Universal Successor Features Approximators ICLR 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Distributed Prioritized Experience Replay ICLR 2018 Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011