Pablo Samuel Castro

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Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

Reinforcement learning methods trained on few environments rarely learn ...
01/13/2021 ∙ by Rishabh Agarwal, et al. ∙ 21 ∙ share

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

Since the introduction of DQN, a vast majority of reinforcement learning...
11/20/2020 ∙ by Johan S. Obando-Ceron, et al. ∙ 0 ∙ share

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GANterpretations

Since the introduction of Generative Adversarial Networks (GANs) [Goodfe...
11/06/2020 ∙ by Pablo Samuel Castro, et al. ∙ 0 ∙ share

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Rigging the Lottery: Making All Tickets Winners

Sparse neural networks have been shown to be more parameter and compute ...
11/25/2019 ∙ by Utku Evci, et al. ∙ 0 ∙ share

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Scalable methods for computing state similarity in deterministic Markov Decision Processes

We present new algorithms for computing and approximating bisimulation m...
11/21/2019 ∙ by Pablo Samuel Castro, et al. ∙ 49 ∙ share

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Inverse Reinforcement Learning with Multiple Ranked Experts

We consider the problem of learning to behave optimally in a Markov Deci...
07/31/2019 ∙ by Pablo Samuel Castro, et al. ∙ 5 ∙ share

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Performing Structured Improvisations with pre-trained Deep Learning Models

The quality of outputs produced by deep generative models for music have...
04/30/2019 ∙ by Pablo Samuel Castro, et al. ∙ 0 ∙ share

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Distributional reinforcement learning with linear function approximation

Despite many algorithmic advances, our theoretical understanding of prac...
02/08/2019 ∙ by Marc G. Bellemare, et al. ∙ 18 ∙ share

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A Geometric Perspective on Optimal Representations for Reinforcement Learning

This paper proposes a new approach to representation learning based on g...
01/31/2019 ∙ by Marc G. Bellemare, et al. ∙ 10 ∙ share

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

We consider the problem of designing an artificial agent capable of inte...
01/31/2019 ∙ by Kory W. Mathewson, et al. ∙ 8 ∙ share

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A Comparative Analysis of Expected and Distributional Reinforcement Learning

Since their introduction a year ago, distributional approaches to reinfo...
01/30/2019 ∙ by Clare Lyle, et al. ∙ 6 ∙ share

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

Much human and computational effort has aimed to improve how deep reinfo...
12/17/2018 ∙ by Felipe Petroski Such, et al. ∙ 6 ∙ share

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Dopamine: A Research Framework for Deep Reinforcement Learning

Deep reinforcement learning (deep RL) research has grown significantly i...
12/14/2018 ∙ by Pablo Samuel Castro, et al. ∙ 1 ∙ share

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Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation

The use of language models for generating lyrics and poetry has received...
11/12/2018 ∙ by Pablo Samuel Castro, et al. ∙ 0 ∙ share

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Pablo Samuel Castro

Featured Co-authors

Rui Wang

Dale Schuurmans

Tor Lattimore

Jeff Clune

Marc G. Bellemare

Joel Lehman

Will Dabney

Erich Elsen

Nicolas Le Roux

Colin Cherry

Saurabh Kumar

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

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

GANterpretations

Rigging the Lottery: Making All Tickets Winners

Scalable methods for computing state similarity in deterministic Markov Decision Processes

Inverse Reinforcement Learning with Multiple Ranked Experts

Performing Structured Improvisations with pre-trained Deep Learning Models

Distributional reinforcement learning with linear function approximation

A Geometric Perspective on Optimal Representations for Reinforcement Learning

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

A Comparative Analysis of Expected and Distributional Reinforcement Learning

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

Dopamine: A Research Framework for Deep Reinforcement Learning

Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation