Bilal Piot

End-to-end optimization of goal-driven and visually grounded dialogue systems

2017 · arXiv (Cornell University)

End-to-end design of dialogue systems has recently become a popular research topic thanks to powerful tools such as encoder-decoder architectures for sequence-to-sequence learning. Yet, most current approaches cast human-machine dialogue management as a supervised learning …

Never Give Up: Learning Directed Exploration Strategies

2020 · arXiv (Cornell University)

We propose a reinforcement learning agent to solve hard exploration games by learning a range of directed exploratory policies. We construct an episodic memory-based intrinsic reward using k-nearest neighbors over the agent's recent experience to …