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Found 4 papers, 0 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.
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
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks
Aspect-level sentiment classification, which is a fine-grained sentiment analysis task, has received lots of attention these years.
