Pablo Samuel Castro

Gintare Karolina Dziugaite

CoRR, 2024

Mixtures of Experts Unlock Parameter Scaling for Deep RL.

[BibT_eX]

[DOI]

Johan S. Obando-Ceron

Maxime Chevalier-Boisvert

CoRR, 2024

2023

Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy.

[BibT_eX]

[DOI]

CoRR, 2023

A density estimation perspective on learning from pairwise human preferences.

[BibT_eX]

[DOI]

CoRR, 2023

A Kernel Perspective on Behavioural Metrics for Markov Decision Processes.

[BibT_eX]

[DOI]

CoRR, 2023

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

JaxPruner: A concise library for sparsity research.

[BibT_eX]

[DOI]

CoRR, 2023

Offline Reinforcement Learning with On-Policy Q-Function Regularization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Small batch deep reinforcement learning.

[BibT_eX]

[DOI]

Johan S. Obando-Ceron

Maxime Chevalier-Boisvert

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.

[BibT_eX]

[DOI]

Bolun Dai

Mark Towers

Rodrigo Perez-Vicente

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Dormant Neuron Phenomenon in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Bigger, Better, Faster: Human-level Atari with human-level efficiency.

[BibT_eX]

[DOI]

Max Schwarzer

Johan Samir Obando-Ceron

Proceedings of the International Conference on Machine Learning, 2023

The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Johan Samir Obando-Ceron

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Beyond Tabula Rasa: Reincarnating Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The State of Sparse Training in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

A general class of surrogate functions for stable and efficient reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Losses, Dissonances, and Distortions.

[BibT_eX]

[DOI]

CoRR, 2021

A functional mirror ascent view of policy gradient methods with function approximation.

[BibT_eX]

[DOI]

CoRR, 2021

MICo: Learning improved representations via sampling-based state similarity for Markov decision processes.

[BibT_eX]

[DOI]

CoRR, 2021

The Difficulty of Passive Learning in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Georg Ostrovski

Will Dabney

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MICo: Improved representations via sampling-based state similarity for Markov decision processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Reinforcement Learning at the Edge of the Statistical Precipice.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research.

[BibT_eX]

[DOI]

Johan Samir Obando-Ceron

Proceedings of the 38th International Conference on Machine Learning, 2021

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Metrics and Continuity in Reinforcement Learning.

[BibT_eX]

[DOI]

Charline Le Lan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Autonomous navigation of stratospheric balloons using reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2020

GANterpretations.

[BibT_eX]

[DOI]

CoRR, 2020

Rigging the Lottery: Making All Tickets Winners.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Shaping the Narrative Arc: Information-Theoretic Collaborative DialoguePaper type: Technical Paper.

[BibT_eX]

[DOI]

Kory Wallace Mathewson

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Inverse Reinforcement Learning with Multiple Ranked Experts.

[BibT_eX]

[DOI]

Shijian Li

Daqing Zhang

CoRR, 2019

Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue.

[BibT_eX]

[DOI]

CoRR, 2019

A Geometric Perspective on Optimal Representations for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Performing Structured Improvisations with Pre-trained Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Computational Creativity, 2019

Distributional reinforcement learning with linear function approximation.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

A Comparative Analysis of Expected and Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

Clare Lyle

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.

[BibT_eX]

[DOI]

CoRR, 2018

Dopamine: A Research Framework for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation.

[BibT_eX]

[DOI]

Maria Attarian

CoRR, 2018

2013

iBOAT: Isolation-Based Online Anomalous Trajectory Detection.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2013

Real Time Anomalous Trajectory Detection and Analysis.

[BibT_eX]

[DOI]

Mob. Networks Appl., 2013

From taxi GPS traces to social and community dynamics: A survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2013

2012

Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces.

[BibT_eX]

[DOI]

Daqing Zhang

Shijian Li

Proceedings of the Pervasive Computing - 10th International Conference, 2012

2011

Real-Time Detection of Anomalous Taxi Trajectories from GPS Traces.

[BibT_eX]

[DOI]

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2011

Automatic Construction of Temporally Extended Actions for MDPs Using Bisimulation Metrics.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2010

Smarter Sampling in Model-Based Bayesian Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Using Bisimulation for Policy Transfer in MDPs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Equivalence Relations in Fully and Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

Prakash Panangaden

Proceedings of the IJCAI 2009, 2009

2007

Using Linear Programming for Bayesian Exploration in Markov Decision Processes.

[BibT_eX]

[DOI]