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06/20/2023
Learning to Generate Better Than Your LLM
Reinforcement learning (RL) has emerged as a powerful paradigm for fine-...
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06/05/2023
Survival Instinct in Offline Reinforcement Learning
We present a novel observation about the behavior of offline reinforceme...
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11/14/2022
Towards Data-Driven Offline Simulations for Online Reinforcement Learning
Modern decision-making systems, from robots to web recommendation engine...
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10/31/2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
Learning to control an agent from data collected offline in a rich pixel...
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10/26/2022
Provable Safe Reinforcement Learning with Binary Feedback
Safety is a crucial necessity in many applications of reinforcement lear...
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07/17/2022
Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models
A person walking along a city street who tries to model all aspects of t...
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06/09/2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
In real-world reinforcement learning applications the learner's observat...
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05/27/2022
Provably Sample-Efficient RL with Side Information about Latent Dynamics
We study reinforcement learning (RL) in settings where observations are ...
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02/28/2022
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Contrastive learning is a popular form of self-supervised learning that ...
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10/17/2021
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics
Many real-world applications of reinforcement learning (RL) require the ...
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06/18/2021
Investigating the Role of Negatives in Contrastive Representation Learning
Noise contrastive learning is a popular technique for unsupervised repre...
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05/21/2021
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data
Topic models are widely used in studying social phenomena. We conduct a ...
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02/13/2021
Interactive Learning from Activity Description
We present a novel interactive learning protocol that enables training r...
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10/08/2020
Learning the Linear Quadratic Regulator from Nonlinear Observations
We introduce a new problem setting for continuous control called the LQR...
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11/13/2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
We present an algorithm, HOMER, for exploration and reinforcement learni...
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05/30/2019
Combating the Compounding-Error Problem with a Multi-step Model
Model-based reinforcement learning is an appealing framework for creatin...
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11/29/2018
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
We study the problem of jointly reasoning about language and vision thro...
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11/21/2018
Early Fusion for Goal Directed Robotic Vision
Increasingly, perceptual systems are being codified as strict pipelines ...
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11/10/2018
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
We propose an approach for mapping natural language instructions and raw...
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10/31/2018
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
When environmental interaction is expensive, model-based reinforcement l...
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09/05/2018
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations
Semantic parsing from denotations faces two key challenges in model trai...
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09/04/2018
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
We propose to decompose instruction execution to goal prediction and act...
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06/01/2018
Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning
Learning a generative model is a key component of model-based reinforcem...
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04/19/2018
Lipschitz Continuity in Model-based Reinforcement Learning
Model-based reinforcement-learning methods learn transition and reward m...
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01/23/2018
CHALET: Cornell House Agent Learning Environment
We present CHALET, a 3D house simulator with support for navigation and ...
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04/28/2017