Planning

Publication

Generalised Policy Improvement with Geometric Policy Composition

Shantanu Thakoor, Mark Rowland, Diana Borsa, Will Dabney, Remi Munos, Andre Barreto

ICML

Download

Publication

Mastering Atari with Discrete World Models

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

arXiv

Download

Publication

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

Download

Publication

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

Gellert Weisz, Philip Amortila *, Csaba Szepesvári

arXiv

Download

Publication

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

Download

Publication

Monte-Carlo Tree Search as Regularized Policy Optimization

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

ICML

Download

Publication

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

Roshan Shariff *, Csaba Szepesvári

arXiv

Download

Publication

Expected Eligibility Traces

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

arXiv

Download

Publication

Pessimism About Unknown Unknowns Inspires Conservatism

Michael Cohen *, Marcus Hutter

arXiv

Download

Publication

Rapid Task-Solving in Novel Environments

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

arXiv

Download

Publication

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

Download

Publication

Static and Dynamic Values of Computation in MCTS

Eren Sezener, Peter Dayan *

arXiv

Download

Publication

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

Download

Publication

Planning in entropy-regularized Markov decision processes and games

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

NeurIPS

Download

Publication

Iterative Budgeted Exponential Search

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

arXiv

Download

Publication

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

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

arXiv

Download

Publication

When to use parametric models in reinforcement learning?

Hado van Hasselt, Matteo Hessel, John Aslanides

NeurIPS

Download

Publication

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

Laurent Orseau, L Lelis *, Tor Lattimore

arXiv

Download

Publication

Interval Timing in Deep Reinforcement Learning Agents

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

arXiv

Download

Publication

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

Download

Publication

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

Download

Publication

A Bayesian Approach to Robust Reinforcement Learning

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

UAI

Download

Publication

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

Download

Publication

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

Download

Publication

Learning Latent Dynamics for Planning from Pixels

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

arXiv

Download

Publications

Planning