参考文献列表：Mixed-type conversation

• Towards Topic-Guided Conversational Recommender System
• RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models
• RLPROMPT: Optimizing Discrete Text Prompts with Reinforcement Learning
• CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
• User-Centric Conversational Recommendation with Multi-Aspect User Modeling
• CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
• Deep Reinforcement Learning for Sequence-to-Sequence Models
• COLING例子：https://aclanthology.org/2022.coling-1.55.pdf
• Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
• Target-Guided Open-Domain Conversation Planning
• Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
  https://arxiv.org/pdf/2206.09363.pdf
• X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning
  https://arxiv.org/pdf/2109.03560.pdf
• Contrastive Learning as Goal-Conditioned Reinforcement Learning
  https://arxiv.org/pdf/2206.07568.pdf
• Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
  https://arxiv.org/pdf/1802.09464.pdf
• C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
  https://arxiv.org/pdf/2206.07568.pdf
• Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
  https://arxiv.org/pdf/1812.03509.pdf