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Metrics and continuity in reinforcement learning
In most practical applications of reinforcement learning, it is untenabl...
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Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Reinforcement learning methods trained on few environments rarely learn ...
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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...
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GANterpretations
Since the introduction of Generative Adversarial Networks (GANs) [Goodfe...
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Rigging the Lottery: Making All Tickets Winners
Sparse neural networks have been shown to be more parameter and compute ...
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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...
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Inverse Reinforcement Learning with Multiple Ranked Experts
We consider the problem of learning to behave optimally in a Markov Deci...
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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...
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Distributional reinforcement learning with linear function approximation
Despite many algorithmic advances, our theoretical understanding of prac...
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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...
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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...
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A Comparative Analysis of Expected and Distributional Reinforcement Learning
Since their introduction a year ago, distributional approaches to reinfo...
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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...
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Dopamine: A Research Framework for Deep Reinforcement Learning
Deep reinforcement learning (deep RL) research has grown significantly i...
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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...
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