Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

Keywords Abstract Paper

Task-oriented Dialogue System, Hierarchical Reinforcement Learning, Policy Optimization, Natural Language Processing

Jinpeng Li, Yingce Xia, Rui Yan and

Hongda Sun, Dongyan Zhao, Tie-Yan Liu

Keywords Abstract Paper

Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang

Keywords Abstract Paper

Transfer Learning, Multi-agent Reinforcement Learning

Ruijian Xu, Chongyang Tao, Daxin Jiang and

Xueliang Zhao, Dongyan Zhao, Rui Yan

Keywords Abstract Paper

Kai Wang, Junfeng Tian, Rui Wang and

Xiaojun Quan, Jianxing Yu

Keywords Abstract Paper

Generating responses, task-oriented systems, response generation, automatic evaluations

Linxiao Li, Can Xu, Wei Wu and

YUFAN ZHAO, Xueliang Zhao, Chongyang Tao

Keywords Abstract Paper

Nico Gürtler, Dieter Büchler, Georg Martius

Keywords Abstract Paper

reinforcement learning and planning

Yuqian Jiang, Suda Bharadwaj, Bo Wu and

Rishi Shah, Ufuk Topcu, Peter Stone

Keywords Abstract Paper

Pashootan Vaezipoor, Andrew C Li, Rodrigo A Toro Icarte, Sheila McIlraith

Keywords Abstract Paper

Reinforcement Learning and Planning

Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

Keywords Abstract Paper

Semi-Supervised Learning, generalization function, Stochastic Estimation, Dialogue optimization

Bei Peng, Tabish Rashid, Christian Schroeder de Witt and

Pierre-Alexandre Kamienny, Philip Torr, Wendelin Boehmer, Shimon Whiteson

Keywords Abstract Paper

reinforcement learning and planning

Sanjeevan Ahilan, Peter Dayan

Keywords Abstract Paper

multi-agent reinforcement learning, communication, experience replay, relabelling

Tonghan Wang*, Jianhao Wang*, Chongyi Zheng, Chongjie Zhang

Keywords Abstract Paper

Multi-agent reinforcement learning, Nearly decomposable value function, Minimized communication

Zhengxian Lin, Kin-Ho Lam, Alan Fern

Keywords Abstract Paper

Deep Reinforcement Learning, Explainable AI

Tianpei Yang, Weixun Wang, Hongyao Tang and

Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang

Keywords Abstract Paper

reinforcement learning and planning, transfer learning

Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

Keywords Abstract Paper

generative model

Xiuyi Chen, Fandong Meng, Peng Li and

Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou

Keywords Abstract Paper

knowledge selection, knowledge-grounded dialogue, dialogue generation, inference

Murtaza Rangwala, Ryan K Williams

Keywords Abstract Paper

Mengjiao Yang, Ofir Nachum

Keywords Abstract Paper

Reinforcement Learning and Planning

Anuj Mahajan, Mikayel Samvelyan, Lei Mao and

Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Anima Anandkumar

Keywords Abstract Paper

Reinforcement Learning and Planning, Multi-Agent RL

Xiang Hu, Zujie Wen, Yafang Wang and

Xiaolong Li, Gerard de Melo

Keywords Abstract Paper

Hae Beom Lee, Hayeon Lee, Donghyun Na and

Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang

Keywords Abstract Paper

meta-learning, few-shot learning, Bayesian neural network, variational inference, learning to learn, imbalanced and out-of-distribution tasks for few-shot learning

Junyu Lu, Xiancong Ren, Yazhou Ren and

Ao Liu, Zenglin Xu

Keywords Abstract Paper

pre-trained language model, augmentation, response retrieval

Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph Lim

Keywords Abstract Paper

deep learning, reinforcement learning and planning

Herman Yau, Chris Russell, Simon Hadfield

Keywords Abstract Paper

Mete Kemertas, Tristan Aumentado-Armstrong

Keywords Abstract Paper

reinforcement learning and planning, robustness, representation learning

Jongwook Choi, Archit Sharma, Honglak Lee and

Sergey Levine, Shixiang Gu

Keywords Abstract Paper

Neuroscience and Cognitive Science, Neuroscience, Reinforcement Learning and Planning, Algorithms, Representation Learning; Algorithms, Sparse Coding and Dimensionality Expansion; Applications, Matrix and Ten

Anurag Ajay, Aviral Kumar, Pulkit Agrawal and

Sergey Levine, Ofir Nachum

Keywords Abstract Paper

Unsupervised Learning, Offline Reinforcement Learning, Primitive Discovery

Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao

Keywords Abstract Paper

Giuseppe De Giacomo, Marco Favorito, Luca Iocchi, Fabio Patrizi

Keywords Abstract Paper

Restraining Bolts, Non-markovian Rewards, Transfer Learning

Qi Jia, Yizhu Liu, Siyu Ren and

Kenny Zhu, Haifeng Tang

Keywords Abstract Paper

multi-turn selection, dialogue understanding, dialogue agents, pre-trained models

Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta

Keywords Abstract Paper

reinforcement learning, intrinsic motivation, synergistic, robot manipulation

Jinxin Liu, Hao Shen, Donglin Wang and

Yachen Kang, Qiangxing Tian

Keywords Abstract Paper

reinforcement learning and planning, domain adaptation

Lanqing Li, Rui Yang, Dijun Luo

Keywords Abstract Paper

distance metric learning, offline/batch reinforcement learning, meta-reinforcement learning, contrastive learning, multi-task reinforcement learning

Arash Tavakoli, Mehdi Fatemi, Petar Kormushev

Keywords Abstract Paper

reinforcement learning, learning action representations, multi-dimensional discrete action spaces, structural inductive bias, structural credit assignment

Woon Sang Cho, Yizhe Zhang, Sudha Rao and

Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan

Keywords Abstract Paper

Georg Ostrovski, Pablo Samuel Castro, Will Dabney

Keywords Abstract Paper

optimization, reinforcement learning and planning

Archit Sharma, Abhishek Gupta, Sergey Levine and

Karol Hausman, Chelsea Finn

Keywords Abstract Paper

reinforcement learning and planning

Hyunwoo Kim, Byeongchang Kim, Gunhee Kim

Keywords Abstract Paper

training, dialogue agents, generative agent, persona-based agents

Shaoxiong Feng, Xuancheng Ren, Hongshen Chen and

Bin Sun, Kan Li, Xu Sun

Keywords Abstract Paper

inference, generative systems, imitation framework, dialogue model