Contact is at the core of robotic manipulation. At times, it is desired ...
Specifying reward signals that allow agents to learn complex behaviors i...
Reinforcement learning (RL), imitation learning (IL), and task and motio...
One of the key capabilities of intelligent agents is the ability to disc...
Large-scale data is an essential component of machine learning as
demons...
Model-based reinforcement learning (RL) is a sample-efficient way of lea...
Skill chaining is a promising approach for synthesizing complex behavior...
Learning complex manipulation tasks in realistic, obstructed environment...
Demonstration-guided reinforcement learning (RL) is a promising approach...
The ability to transfer a policy from one environment to another is a
pr...
Intelligent agents rely heavily on prior experience when learning a new ...
Deep reinforcement learning (RL) agents are able to learn contact-rich
m...
Learning from demonstrations is a useful way to transfer a skill from on...
The IKEA Furniture Assembly Environment is one of the first benchmarks f...