Mariano Phielipp | DeepAI

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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 ...

0 Ruihan Zhao, et al. ∙

∙ 11/23/2022

Group SELFIES: A Robust Fragment-Based Molecular String Representation

We introduce Group SELFIES, a molecular string representation that lever...

0 Austin Cheng, et al. ∙

∙ 06/17/2022

AnyMorph: Learning Transferable Polices By Inferring Agent Morphology

The prototypical approach to reinforcement learning involves training po...

0 Brandon Trabucco, et al. ∙

∙ 05/22/2022

Offline Policy Comparison with Confidence: Benchmarks and Baselines

Decision makers often wish to use offline historical data to compare seq...

0 Anurag Koul, et al. ∙

∙ 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...

0 Kourosh Hakhamaneshi, et al. ∙

∙ 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 ...

0 Hassam Sheikh, et al. ∙

∙ 06/15/2021

Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning

Inter-agent communication can significantly increase performance in mult...

0 Varun Kumar Vijay, et al. ∙

∙ 06/14/2021

Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization

Mixed-precision quantization is a powerful tool to enable memory and com...

0 Santiago Miret, et al. ∙

∙ 11/02/2020

Instance based Generalization in Reinforcement Learning

Agents trained via deep reinforcement learning (RL) routinely fail to ge...

13 Martin Bertran, et al. ∙

∙ 10/22/2020

Language-Conditioned Imitation Learning for Robot Manipulation Tasks

Imitation learning is a popular approach for teaching motor skills to ro...

0 Simon Stepputtis, et al. ∙

∙ 05/31/2020

Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos

Learning meaningful visual representations in an embedding space can fac...

21 Ajay Kumar Tanwani, et al. ∙

∙ 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...

0 Simon Stepputtis, et al. ∙

∙ 06/29/2019

On Training Flexible Robots using Deep Reinforcement Learning

The use of robotics in controlled environments has flourished over the l...

0 Zach Dwiel, et al. ∙

∙ 06/13/2019

Goal-conditioned Imitation Learning

Designing rewards for Reinforcement Learning (RL) is challenging because...

11 Yiming Ding, et al. ∙