Planning

Publication

Mastering Atari with Discrete World Models

Danijar Hafner *, Timothy Lillicrap, Mohammad Norouzi *, Jimmy Ba *

arXiv

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Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban

Peter Karkus *, Mehdi Mirza, Arthur Guez, Andrew Jaegle *, Timothy Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber

arXiv

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Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions

Gellert Weisz, Philip Amortila *, Csaba Szepesvári

arXiv

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Physically Embedded Planning Problems: New Challenges for Reinforcement Learning

Mehdi Mirza, Andrew Jaegle *, Jonathan Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Theophane Weber, Peter Karkus *, Sébastien Racanière, Lars Buesing, Timothy Lillicrap, Nicolas Heess

arXiv

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Monte-Carlo Tree Search as Regularized Policy Optimization

Yunhao Tang *, Jean-bastien Grill, Florent Altché, Thomas Hubert, Remi Munos, Michal Valko, Ioannis Antonoglou

ICML

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Efficient Planning in Large MDPs with Weak Linear Function ApproximationEfficient Sample Collection Strategy for Reinforcement Learning

Roshan Shariff *, Csaba Szepesvári

arXiv

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Expected Eligibility Traces

Hado van Hasselt, Sephora Madjiheurem *, Matteo Hessel, David Silver, André Barreto, Diana Borsa

arXiv

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Pessimism About Unknown Unknowns Inspires Conservatism

Michael Cohen *, Marcus Hutter

arXiv

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Rapid Task-Solving in Novel Environments

Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matt Botvinick, David Raposo

arXiv

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Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning

Giambattista Parascandolo *, Lars Buesing, Josh Merel, Leonard Hasenclever, John Aslanides, Jess Hamrick, Nicolas Heess, Alexander Neitz *, Theophane Weber

arXiv

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Static and Dynamic Values of Computation in MCTS

Eren Sezener, Peter Dayan *

arXiv

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Combining Q-Learning and Search with Amortized Value Estimates

Jess Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter Battaglia

arXiv

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Planning in entropy-regularized Markov decision processes and games

Jean-Bastian Grill, O Domingues *, Pierre Ménard *, Rémi Munos, Michal Valko

NeurIPS

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Iterative Budgeted Exponential Search

Malte Helmert *, Tor Lattimore, Laurent Orseau, Nathan Sturtevant *

arXiv

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Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces

Guy Lorberbom *, Christopher Maddison, Nicolas Heess, Tamir Hazan *, D Tarlow *

arXiv

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When to use parametric models in reinforcement learning?

Hado van Hasselt, Matteo Hessel, John Aslanides

NeurIPS

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Zooming Cautiously: Linear-Memory Heuristic Search With Node Expansion Guarantees

Laurent Orseau, L Lelis *, Tor Lattimore

arXiv

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Interval Timing in Deep Reinforcement Learning Agents

Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo

arXiv

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Learning Compositional Neural Programs with Recursive Tree Search and Planning

Thomas Pierrot *, Guillaume Ligner *, Scott Reed, Olivier Sigaud *, Nicolas Perrin *, Alexandre Laterre *, David Kas *, Karim Beguir *, Nando de Freitas

arXiv

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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Nick Watters, Loic Matthey, Matko Bošnjak, Christopher Burgess, Alexander Lerchner

ICML

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A Bayesian Approach to Robust Reinforcement Learning

Esther Derman *, Daniel Mankowitz, Timothy Mann, Shie Mannor *

UAI

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The StreetLearn Environment and Dataset

Piotr Mirowski, András György, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

arXiv

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An investigation of model-free planning

Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Theophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Gregory Wayne, David Silver, Timothy Lillicrap

arXiv

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Publication

Learning Latent Dynamics for Planning from Pixels

Danijar Hafner *, Timothy Lillicrap, Ian Fischer *, Ruben Villegas *, David Ha *, Honglak Lee *, James Davidson *

arXiv

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Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains

Yangchen Pan *, Muhammad Zaheer *, Adam White, Andrew Patterson *, Martha White *

IJCAI

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Publications

Planning