Hado van Hasselt

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🏆 Grand Slam 🧬 Topic Evolution 🔬 Deep Specialist (11) 🚀 Conference Pioneer 🔥 Unstoppable · Bronze ❓ The Questioner ⚡ Prolific Year · Productive 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (94)

Venues

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

Machine Learning (15) Reinforcement Learning (14) Methods (14) Artificial Intelligence (12) Core AI (11) Optimization & Theory · Machine Learning (10) Deep Learning (6) Learning Types · Machine Learning (6) Learning Paradigms · Artificial Intelligence (4) Learning Types · Deep Learning (4) Applications (3) Learning Paradigms · Machine Learning (3) Architectures (1) Bayesian & Probabilistic (1) Optimization & Theory · Deep Learning (1)

Keywords

reinforcement learning (10) temporal difference learning (5) deep reinforcement learning (4) function approximation (4) policy optimization (3) off-policy learning (3) neural network (3) epistemic uncertainty (2) atari game (2) value iteration (2) successor feature (2) value function (2) uncertainty quantification (1) policy gradient (1) multi-task learning (1) bayesian inference (1) arcade learning environment (1) transfer learning (1) continual learning (1) deep learning (1)

Papers

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