【最新重磅整理】82篇AAAI2021强化学习领域论文接收列表

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于 2021-03-01 08:05:20 发布 · 3.7k 阅读

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文章标签：

#强化学习 #xhtml #敏捷开发 #gwt #xmpp

本文汇总了最新的深度强化学习研究成果，包括多个领域的创新算法和技术，如鲁棒强化学习、多智能体系统、自我监督学习等，展示了该领域的前沿动态。

深度强化学习实验室

官网：http://www.neurondance.com/

论坛：http://deeprl.neurondance.com/

作者：深度强化学习实验室&AMiner

编辑：DeepRL

416: Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation

Bo Pang, Zhong-‐Ping Jiang

676: Scalable First-‐Order Methods for Robust MDPs

Julien Grand Clement, Christian Kroer

710: Maintenance of Social Commitments in Multiagent Systems

Pankaj Telang, Munindar Singh, Neil Yorke-‐Smith

1137: Self-‐Supervised Attention-‐Aware Reinforcement Learning

Haiping Wu, Khimya Khetarpal, Doina Precup

1169: Hierarchical Reinforcement Learning for Integrated Recommendation

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

2088: Combining Reinforcement Learning with Lin-‐Kernighan-‐Helsgaun Algorithm for the Traveling Salesman Problem

Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chumin Li

2136: Learning to Reweight Imaginary Transitions for Model-‐Based Reinforcement Learning

Wenzhen Huang, Qiyue Yin, Junge Zhang, KAIQI HUANG

2294: Exploration-‐Exploitation in Multi-‐Agent Learning: Catastrophe Theory Meets Game Theory

Stefanos Leonardos, Georgios Piliouras

2431: Advice-‐Guided Reinforcement Learning in a Non-‐Markovian Environment

Daniel Neider, Jean-‐Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

2441: Content Masked Loss: Human-‐Like Brush Stroke Planning in a Reinforcement Learning Painting Agent

Peter Schaldenbrand, Jean Oh

2453: Metrics and Continuity in Reinforcement Learning

Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

2666: Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning

Andrea Micheli, Alessandro Valentini

2971: Lipschitz Lifelong Reinforcement Learning

Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

3011: Exact Reduction of Huge Action Spaces in General Reinforcement Learning

Sultan Javed Majeed, Marcus Hutter

3094: Visual Tracking via Hierarchical Deep Reinforcement Learning

Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li

3193: Adaptive Prior-‐Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation

Wei Cheng, Ziyan Luo, Qiyue Yin

3279: A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method

Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

3412: Sequential Generative Exploration Model for Partially Observable Reinforcement Learning

Haiyan Yin, Jianda Chen, Sinno Pan, Sebastian Tschiatschek

3679: Learning Task-‐Distribution Reward Shaping with Meta-‐Learning

Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

3727: Visual Comfort Aware-‐Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images

Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro

3812: Scheduling of Time-‐Varying Workloads Using Reinforcement Learning

Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra

4386: DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems

Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang , Hui Liu

4719: Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-‐Player Games

David Milec, Jakub Cerny, Viliam Lisy, Bo An

4999: Bayesian Optimized Monte Carlo Planning

John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel Kochenderfer

5008: Towards Effective Context for Meta-‐Reinforcement Learning: An Approach Based on Contrastive Learning

Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

5012: Improved POMDP Tree Search Planning with Prioritized Action Branching

John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel Kochenderfer

5046: Anytime Heuristic and Monte Carlo Methods for Large-‐Scale Simultaneous Coalition Structure Generation and Assignment

Fredrik Präntare, Fredrik Heintz, Herman Appelgren

5101: Reinforcement Learning with Trajectory Feedback

Yonathan Efroni, Nadav Merlis, Shie Mannor

5167: Encoding Human Domain Knowledge to Warm Start Reinforcement Learning

Andrew Silva, Matthew Gombolay

5284: GLIB: Efficient Exploration for Relational Model-‐Based Reinforcement Learning via Goal-Literal Babbling

Rohan Chitnis, Tom Silver, Joshua Tenenbaum, Leslie Kaelbling, Tomas Lozano-‐Perez

5303: Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size

Christoph Hertrich, Martin Skutella

5320: WCSAC: Worst-‐Case Soft Actor Critic for Safety-‐Constrained Reinforcement Learning

Qisong Yang, Thiago D. Simão, Simon H Tindemans, Matthijs T. J. Spaan

5334: Queue-‐Learning: A Reinforcement Learning Approach for Providing Quality of Service

Majid Raeis, Ali Tizghadam, Alberto Leon-‐Garcia

5546: Improving Sample Efficiency in Model-‐Free Reinforcement Learning from Images

Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

5657: A Sample-‐Efficient Algorithm for Episodic Finite-‐Horizon MDP with Constraints

Krishna C Kalagarla, Rahul Jain, Pierluigi Nuzzo

5712: Resilient Multi-‐Agent Reinforcement Learning with Adversarial Value Decomposition

Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien

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