Philip Ball

6 papers · 2020–2023 · 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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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🏆 Grand Slam

Venues

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

Top co-authors

Jack Parker-Holder (6) Aldo Pacchiano (3) Stephen J. Roberts (2) Krzysztof Choromanski (2) Stephen Roberts (2) Cong Lu (2) Yee Whye Teh (1) Samuel Kessler (1) Stefan Zohren (1) Yingchen Xu (1)

Research topics

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

Keywords

model-based reinforcement learning (3) continuous control (2) reinforcement learning (2) world model (2) offline reinforcement learning (2) active learning (2) sample efficiency (2) bayesian optimization (1) multi-armed bandit (1) regret bound (1) diffusion model (1) synthetic data (1) zero-shot generalization (1) dynamics model (1) reward-free exploration (1) experience replay (1) self-supervised exploration (1) hybrid objective (1) factorized policy (1) optimism in uncertainty (1)

Papers

Synthetic Experience Replay NeurIPS 2023 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 Same State, Different Task: Continual Reinforcement Learning without Interference AAAI 2022 Towards tractable optimism in model-based reinforcement learning UAI 2021 Ready Policy One: World Building Through Active Learning ICML 2020