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05/21/2023
Automated Few-shot Classification with Instruction-Finetuned Language Models
A particularly successful class of approaches for few-shot learning comb...
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11/08/2022
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic
The use of multilingual language models for tasks in low and high-resour...
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08/26/2022
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning
We propose a multimodal (vision-and-language) benchmark for cooperative ...
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02/27/2022
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following
Language-guided Embodied AI benchmarks requiring an agent to navigate an...
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01/24/2022
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Recent years have witnessed an emerging paradigm shift toward embodied a...
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01/21/2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning
We present a two-step hybrid reinforcement learning (RL) policy that is ...
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11/10/2021
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
Learning-based methods for training embodied agents typically require a ...
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02/25/2021
Off-Policy Imitation Learning from Observations
Learning from Observations (LfO) is a practical reinforcement learning s...
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11/24/2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
This paper develops an efficient multi-agent deep reinforcement learning...
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09/16/2020
Transfer Learning in Deep Reinforcement Learning: A Survey
This paper surveys the field of transfer learning in the problem setting...
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07/11/2020
Federated Learning's Blessing: FedAvg has Linear Speedup
Federated learning (FL) learns a model jointly from a set of participati...
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04/01/2020
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
Model-free deep reinforcement learning (RL) has demonstrated its superio...
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06/24/2019
Ranking Policy Gradient
Sample inefficiency is a long-lasting problem in reinforcement learning ...
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02/19/2018
Differentially Private Generative Adversarial Network
Generative Adversarial Network (GAN) and its variants have recently attr...
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02/18/2018
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
Large-scale online ride-sharing platforms have substantially transformed...
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02/18/2018