Name
Title | ||
|---|---|---|
Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents. |
Abstract | ||
|---|---|---|
In this paper we present a comparative evaluation of various negotiation strategies within an online version of the game “Settlers of Catan”. The comparison is based on human subjects playing games against artificial game-playingagents (‘bots’) which implement different negotiation dialogue strategies, using a chat dialogue interface to negotiate trades. Our results suggest that a negotiation strategy that uses persuasion, as well as a strategy that is trained from data using Deep Reinforcement Learning, both lead to an improved win rate against humans, compared to previous rule-based and supervised learning baseline dialogue negotiators. |
Year | Venue | Field |
|---|---|---|
2017 | EACL | Persuasion,Computer science,Supervised learning,Natural language processing,Artificial intelligence,Reinforcement learning,Negotiation |
DocType | Citations | PageRank |
Conference | 7 | 0.52 |
References | Authors | |
7 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| alex lascarides | 1 | 503 | 68.41 |
| Oliver Lemon | 2 | 135 | 14.94 |
| Markus Guhe | 3 | 105 | 9.01 |
| Simon Keizer | 4 | 461 | 28.96 |
| Heriberto Cuayáhuitl | 5 | 247 | 22.20 |
| Ioannis Efstathiou | 6 | 15 | 2.12 |
| Engelbrecht, Klaus-Peter | 7 | 11 | 2.64 |
| Mihai Sorin Dobre | 8 | 7 | 0.52 |