research
∙
06/27/2023
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos
To realize human-robot collaboration, robots need to execute actions for...
share
research
∙
03/10/2023
Tactile-Filter: Interactive Tactile Perception for Part Mating
Humans rely on touch and tactile sensing for a lot of dexterous manipula...
research
∙
10/22/2022
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions
The world is filled with articulated objects that are difficult to deter...
research
∙
03/24/2022
Object Memory Transformer for Object Goal Navigation
This paper presents a reinforcement learning method for object goal navi...
research
∙
09/09/2021
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
Inverse Reinforcement Learning (IRL) is attractive in scenarios where re...
research
∙
02/16/2021
Training Larger Networks for Deep Reinforcement Learning
The success of deep learning in the computer vision and natural language...
research
∙
11/14/2020
Towards Human-Level Learning of Complex Physical Puzzles
Humans quickly solve tasks in novel systems with complex dynamics, witho...
research
∙
10/31/2020
Deep Reactive Planning in Dynamic Environments
The main novelty of the proposed approach is that it allows a robot to l...
research
∙
03/03/2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
In this paper, we consider the problem of building learning agents that ...
research
∙
03/03/2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Deep reinforcement learning (RL) algorithms have recently achieved remar...
research
∙
03/13/2019