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Found 10 papers, 2 papers with code
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy
Most of the existing dialogue policy methods rely on a single learning system, while the human brain has two specialized learning and memory systems, supporting to find good solutions without requiring copious examples.
A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning
It supports evaluating the difficulty of dialogue tasks only using the learning experiences of dialogue policy and skip-level selection according to their learning needs to maximize the learning efficiency.
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media
Public sentiment (the opinion, attitude or feeling that the public expresses) is a factor of interest for government, as it directly influences the implementation of policies.
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks
In this work, we propose an RL algorithm that can automatically structure the reward function for sample efficiency, given a set of labels that signify subtasks.
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization
When a conversation enters a dead-end state, regardless of the actions taken afterward, it will continue in a dead-end trajectory until the agent reaches a termination state or maximum turn.
A Survey of Multi-Agent Reinforcement Learning with Communication
Communication is an effective mechanism for coordinating the behavior of multiple agents.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions
Reinforcement learning (RL) agents in human-computer interactions applications require repeated user interactions before they can perform well.
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to determine the sentiment polarity of each specific aspect in a given sentence.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation
However, generating personalized responses is still a challenging task since the leverage of predefined persona information is often insufficient.
Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data
Given the unprecedented nature of the COVID-19 crisis, having an up-to-date representation of public sentiment on governmental measures and announcements is crucial.
