research
∙
10/30/2022
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process
Kernels on discrete structures evaluate pairwise similarities between ob...
share
research
∙
01/29/2022
Robust Imitation Learning from Corrupted Demonstrations
We consider offline Imitation Learning from corrupted demonstrations whe...
research
∙
08/26/2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
Due to the high efficiency and less weather dependency, autonomous green...
research
∙
08/03/2021
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning
Model-based reinforcement learning is a widely accepted solution for sol...
research
∙
07/06/2021
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Agriculture is the foundation of human civilization. However, the rapid ...
research
∙
07/05/2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
Model-based deep reinforcement learning has achieved success in various ...
research
∙
02/25/2021
Bias-reduced multi-step hindsight experience replay
Multi-goal reinforcement learning is widely used in planning and robot m...
research
∙
02/22/2021
Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning
Meta-learning for offline reinforcement learning (OMRL) is an understudi...
research
∙
10/02/2020
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
We study the offline meta-reinforcement learning (OMRL) problem, a parad...
research
∙
07/10/2019
Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention
Graph classification is practically important in many domains. To solve ...
research
∙
02/26/2009
