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01/10/2023
Learning to Perceive in Deep Model-Free Reinforcement Learning
This work proposes a novel model-free Reinforcement Learning (RL) agent ...
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10/12/2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
We introduce hybrid execution in multi-agent reinforcement learning (MAR...
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05/06/2022
Learning to Cooperate with Completely Unknown Teammates
A key goal of ad hoc teamwork is to develop a learning agent that cooper...
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04/06/2022
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
We present Perceive-Represent-Generate (PRG), a novel three-stage framew...
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03/09/2022
Onception: Active Learning with Expert Advice for Real World Machine Translation
Active learning can play an important role in low-resource settings (i.e...
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01/10/2022
Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under Partial Observability
In this paper, we present a novel Bayesian online prediction algorithm f...
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11/23/2021
Understanding the Impact of Data Distribution on Q-learning with Function Approximation
In this work, we focus our attention on the study of the interplay betwe...
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05/27/2021
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort
In Machine Translation, assessing the quality of a large amount of autom...
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01/24/2021