
Metrics and continuity in reinforcement learning
In most practical applications of reinforcement learning, it is untenabl...
read it

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Reinforcement learning methods trained on few environments rarely learn ...
read it

Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
Since the introduction of DQN, a vast majority of reinforcement learning...
read it

GANterpretations
Since the introduction of Generative Adversarial Networks (GANs) [Goodfe...
read it

Rigging the Lottery: Making All Tickets Winners
Sparse neural networks have been shown to be more parameter and compute ...
read it

Scalable methods for computing state similarity in deterministic Markov Decision Processes
We present new algorithms for computing and approximating bisimulation m...
read it

Inverse Reinforcement Learning with Multiple Ranked Experts
We consider the problem of learning to behave optimally in a Markov Deci...
read it

Performing Structured Improvisations with pretrained Deep Learning Models
The quality of outputs produced by deep generative models for music have...
read it

Distributional reinforcement learning with linear function approximation
Despite many algorithmic advances, our theoretical understanding of prac...
read it

A Geometric Perspective on Optimal Representations for Reinforcement Learning
This paper proposes a new approach to representation learning based on g...
read it

Shaping the Narrative Arc: An InformationTheoretic Approach to Collaborative Dialogue
We consider the problem of designing an artificial agent capable of inte...
read it

A Comparative Analysis of Expected and Distributional Reinforcement Learning
Since their introduction a year ago, distributional approaches to reinfo...
read it

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...
read it

Dopamine: A Research Framework for Deep Reinforcement Learning
Deep reinforcement learning (deep RL) research has grown significantly i...
read it

Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation
The use of language models for generating lyrics and poetry has received...
read it
Pablo Samuel Castro
is this you? claim profile