This survey paper provides a comprehensive overview of the recent
advanc...
The remarkable success of transformers in the field of natural language
...
Learning robotic tasks in the real world is still highly challenging and...
Training robot manipulation policies is a challenging and open problem i...
Deep Reinforcement Learning (DRL) is a promising approach for teaching r...
Robots learning a new manipulation task from a small amount of demonstra...
Deep reinforcement learning (DRL) is poised to revolutionise the field o...
Trainable chatbots that exhibit fluent and human-like conversations rema...
The deep supervised and reinforcement learning paradigms (among others) ...
Training chatbots using the reinforcement learning paradigm is challengi...
The amount of dialogue history to include in a conversational agent is o...
Standard deep reinforcement learning methods such as Deep Q-Networks (DQ...
Training robots to perceive, act and communicate using multiple modaliti...
This paper presents 'SimpleDS', a simple and publicly available dialogue...
Artificially intelligent agents equipped with strategic skills that can
...