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John Quan

7 papers · 2017–2022 · 4 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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+3 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)
🏆 Grand Slam 🧭 Keyword Pioneer 🚀 Conference Pioneer

Venues

ICLR (3) NeurIPS (2) AAAI (1) ICML (1)

Top co-authors

David Silver (4) Andre Barreto (4) Tom Schaul (3) Rémi Munos (3) Will Dabney (2) Diana Borsa (2) Matteo Hessel (2) Georg Ostrovski (2) Hado van Hasselt (2) Marc G. Bellemare (1)

Research topics

Reinforcement Learning (6) Methods (6) Machine Learning (4) Artificial Intelligence (3) Learning Types · Machine Learning (3) Deep Learning (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Application Areas (1) Applications (1) Core AI (1) Core Methods (1) Optimization & Theory (1)

Keywords

deep reinforcement learning (6) transfer learning (3) policy improvement (2) reinforcement learning (2) successor feature (2) distributed learning (1) arcade learning environment (1) value function (1) policy iteration (1) reward function (1) robust learning (1) recurrent neural network (1) value-based learning (1) experience replay (1) auxiliary task (1) shared policy (1) skill transfer (1) policy distillation (1) distributed reinforcement learning (1) value function approximator (1)

Papers

The Phenomenon of Policy Churn NeurIPS 2022 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021 Recurrent Experience Replay in Distributed Reinforcement Learning ICLR 2019 Universal Successor Features Approximators ICLR 2019 Distributed Prioritized Experience Replay ICLR 2018 Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement ICML 2018 Distral: Robust multitask reinforcement learning NeurIPS 2017