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02/28/2023
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations
Recent progress in deep reinforcement learning (RL) and computer vision ...
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11/23/2022
Group SELFIES: A Robust Fragment-Based Molecular String Representation
We introduce Group SELFIES, a molecular string representation that lever...
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06/17/2022
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
The prototypical approach to reinforcement learning involves training po...
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05/22/2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines
Decision makers often wish to use offline historical data to compare seq...
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03/29/2022
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design
Being able to predict the performance of circuits without running expens...
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01/31/2022
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
Application of ensemble of neural networks is becoming an imminent tool ...
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06/15/2021
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
Inter-agent communication can significantly increase performance in mult...
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06/14/2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
Mixed-precision quantization is a powerful tool to enable memory and com...
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11/02/2020
Instance based Generalization in Reinforcement Learning
Agents trained via deep reinforcement learning (RL) routinely fail to ge...
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10/22/2020
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Imitation learning is a popular approach for teaching motor skills to ro...
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05/31/2020
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
Learning meaningful visual representations in an embedding space can fac...
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11/26/2019
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
In this work we propose a novel end-to-end imitation learning approach w...
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06/29/2019
On Training Flexible Robots using Deep Reinforcement Learning
The use of robotics in controlled environments has flourished over the l...
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06/13/2019