Alexandros Papangelis

Reinforcement Learning of Multi-Issue Negotiation Dialogue Policies

2015

We use reinforcement learning (RL) to learn a multi-issue negotiation dialogue policy. For training and evaluation, we build a hand-crafted agenda-based policy, which serves as the negotiation partner of the RL policy. Both the agendabased …

Towards meaningful, grounded conversations with intelligent agents

2020 · arXiv (Cornell University)

As conversational agents become integral parts of many aspects of our lives, current approaches are reaching bottlenecks of performance that require increasing amounts of data or increasingly powerful models. It is also becoming clear that …