Tom Eccles

5 papers · 2018–2021 · 3 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICML (1) IJCAI (1)

Top co-authors

Yoram Bachrach (3) Thore Graepel (3) Ian Gemp (2) János Kramár (2) Nicolas Porcel (1) Thomas Anthony (1) Sébastien Racanière (1) Alexander Lerchner (1) Angeliki Lazaridou (1) Karol Gregor (1)

Research topics

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

Keywords

inductive bia (2) neural network (2) multi-agent reinforcement learning (1) reinforcement learning (1) catastrophic forgetting (1) continuous optimization (1) agent communication (1) mechanism design (1) minimum description length (1) preference elicitation (1) preference modeling (1) disentangled representation (1) tree search (1) convolutional network (1) variational autoencoder (1) auction mechanism (1) model-free reinforcement learning (1) planning algorithm (1) multi-agent game (1) fictitious play (1)

Papers

A Neural Network Auction For Group Decision Making Over a Continuous Space IJCAI 2021 Learning to Play No-Press Diplomacy with Best Response Policy Iteration NeurIPS 2020 An Investigation of Model-Free Planning ICML 2019 Biases for Emergent Communication in Multi-agent Reinforcement Learning NeurIPS 2019 Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies NeurIPS 2018