MiuLab / D3Q
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
☆26Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for D3Q
- Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning☆151Updated 6 years ago
- PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (…☆144Updated 5 years ago
- Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning☆54Updated 4 years ago
- Task-oriented Dialog Policy Learning with Adversarial Inverse Reinforcement Learning☆45Updated 5 years ago
- PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, …☆133Updated 5 years ago
- code for CIKM'18 long paper, Explicit state tracking with semi-supervision for neural dialogue generation☆22Updated 4 years ago
- Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Archi…☆155Updated 2 years ago
- PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713☆160Updated 5 years ago
- BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer☆101Updated 3 years ago
- Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018)☆169Updated last year
- The implementation of the model proposed in the Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing paper☆59Updated 5 years ago
- Weakly Supervised Topic Segmentation and Labeling☆32Updated 2 years ago
- [EMNLP 2018] Towards Universal Dialogue State Tracking☆42Updated 4 years ago
- Baseline implementation for DSTC8 User Response Prediction Challenge☆72Updated last year
- Code for EMNLP 2018 paper "XL-NBT: A Cross-lingual Neural Belief Tracking Framework"☆36Updated 4 years ago
- This is the source code for HDNO: a hierarchical model for task-oriented dialogue system.☆18Updated last year
- Source code for the ACL 2019 paper entitled "Domain Adaptive Dialog Generation via Meta Learning" by Kun Qian and Zhou Yu☆41Updated 4 years ago
- Personalizing Dialogue Agents via Meta-Learning☆128Updated 3 months ago
- Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow☆192Updated 2 years ago
- A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical…☆29Updated 6 years ago
- Code for the paper Non-Autoregressive Dialog State Tracking (ICLR20)☆44Updated 4 years ago
- ☆46Updated 3 months ago
- Toward Scalable Neural Dialogue State Tracking Model☆20Updated 2 years ago
- ☆38Updated 4 years ago
- CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Dive…☆16Updated 4 years ago
- The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"☆110Updated 8 months ago
- This repo implements GAN-based models for Dialogue Generation (DP-GAN, SeqGAN, and our own proposed DPAC-GAN)☆28Updated 7 months ago
- This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.☆76Updated 3 years ago
- ☆28Updated last year