Shortly before, my research focused on Natural Language Processing and Games.
My other interests include Distributed Systems and Computer Graphics.
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards, arXiv:1707.08817
This work demonstrates robust behaviour of robots against errors and variations in the environment.
Force feedback allows the robot to recover from mistakes along its trajectory, in contrast to conventional scripting methods. More information can be found in this RSS talk.
Grounded Language Learning in a Simulated 3D World, arXiv:1706.06551
This work demonstrates language understanding through Reinforcement Learning in a sensory rich environment.
Through task solving, the agent is able to generalize to the combinatorial number of sentence constructs, a key feature of human language.
Latent Predictor Networks for Code Generation, Association for Computational Linguistics, 2016, arXiv:1603.06744
This work shows that neural networks can learn utilities of cards from their linguistic description in the games "Magic the Gathering" and "Hearthstone".