Evacloud
大纲
强化学习宏观视角
多智能体强化学习
offline rl
off-policy rl
策略估计
逆强化学习
强化学习、模仿学习
分层强化学习
多任务强化学习
adversarial rl
Probabilistic rl
分布式强化学习
Sim-to-Real
奖励塑形
安全强化学习
model-free、model-based强化学习
强化学习状态表示
贝叶斯强化学习
强化学习组合优化
迁移学习强化学习
课程学习强化学习
可解释的强化学习
动态环境强化学习
Human advice强化学习
NLP&rl
强化学习实验
强化学习的应用
1.机器人 2.搜索、推荐、社交 3.经济金融 4.交通运输、能源 5.游戏 6.云计算、物联网 7.自动驾驶、路径规划 8.安全 9.医疗 10.深度学习框架 11.自动控制
其他
正文
强化学习宏观视角
A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions
arxiv.org/abs/2001.0692
A survey of benchmarking frameworks for reinforcement learning
arxiv.org/pdf/2011.1357
Universal Reinforcement Learning Algorithms: Survey and Experiments
arxiv.org/pdf/1705.1055
A Brief Survey of Deep Reinforcement Learning
arxiv.org/pdf/1708.0586
Policy Search in Continuous Action Domains: an Overview
arxiv.org/pdf/1803.0470
A Tour of Reinforcement Learning: The View from Continuous Control
arxiv.org/pdf/1806.0946
多智能体强化学习
An Overview of Multi-agent Reinforcement Learning from Game Theoretical Perspective
arxiv.org/pdf/2011.0058
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
arxiv.org/pdf/2001.0648
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
arxiv.org/pdf/1812.1179
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
arxiv.org/pdf/1707.0918
A Survey and Critique of Multiagent Deep Reinforcement Learning
arxiv.org/pdf/1810.0558
offline rl
Offline (Batch) Reinforcement Learning: A Review of Literature and Applications
Offline (Batch) Reinforcement Learning: A Review of Literature and Applications
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
arxiv.org/pdf/2005.0164
off-policy rl
Off-policy Learning With Eligibility Traces: A Survey
jmlr.org/papers/volume1
策略估计
逆强化学习
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
arxiv.org/pdf/1806.0687
强化学习、模仿学习
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
arxiv.org/pdf/2101.0199
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
arxiv.org/pdf/1612.0713
分层强化学习
Hierarchical principles of embodied reinforcement learning: A review
arxiv.org/pdf/2012.1014
多任务强化学习
A Survey of Multi-Task Deep Reinforcement Learning
mdpi.com/2079-9292/9/9/
adversarial rl
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
arxiv.org/pdf/2001.0968
Probabilistic rl
A Short Survey on Probabilistic Reinforcement Learning
arxiv.org/pdf/1901.0701
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning
arxiv.org/pdf/1908.0938
分布式强化学习
Distributed Deep Reinforcement Learning: An Overview
arxiv.org/pdf/2011.1101
Sim-to-Real
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
arxiv.org/pdf/2009.1330
奖励塑形
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
arxiv.org/pdf/2012.0983
A survey on intrinsic motivation in reinforcement learning
arxiv.org/pdf/1908.0697
安全强化学习
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art
arxiv.org/pdf/2101.0950
model-free、model-based强化学习
Average-reward model-free reinforcement learning: a systematic review and literature mapping
arxiv.org/pdf/2010.0892
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey
arxiv.org/ftp/arxiv/pap
Model-based Reinforcement Learning: A Survey.
arxiv.org/pdf/2006.1671
Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey
arxiv.org/pdf/2008.0559
A Survey on Applications of Model-Free Strategy Learning in Cognitive Wireless Networks
arxiv.org/pdf/1504.0397
强化学习状态表示
An Overview of Natural Language State Representation for Reinforcement Learning
arxiv.org/pdf/2007.0977
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations
arxiv.org/pdf/1804.0457
贝叶斯强化学习
Bayesian Reinforcement Learning: A Survey
arxiv.org/pdf/1609.0443
强化学习组合优化
Reinforcement Learning for Combinatorial Optimization: A Survey
arxiv.org/pdf/2003.0360
A Survey on Reinforcement Learning for Combinatorial Optimization
arxiv.org/pdf/2008.1224
迁移学习强化学习
Transfer Learning in Deep Reinforcement Learning: A Survey
arxiv.org/pdf/2009.0788
课程学习强化学习
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
arxiv.org/pdf/2003.0496
Automatic Curriculum Learning For Deep RL: A Short Survey
arxiv.org/pdf/2003.0466
可解释的强化学习
Explainable Reinforcement Learning: A Survey
arxiv.org/pdf/2005.0624
动态环境强化学习
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
arxiv.org/pdf/2005.1061
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
arxiv.org/pdf/1707.0918
Human advice强化学习
REINFORCEMENT LEARNING WITH HUMAN ADVICE: A SURVEY.
arxiv.org/pdf/2005.1101
NLP&rl
A Survey of Reinforcement Learning Informed by Natural Language
arxiv.org/pdf/1906.0392
强化学习实验
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots
arxiv.org/pdf/1909.0377
强化学习的应用
1.机器人
Reinforcement Learning Approaches in Social Robotics
arxiv.org/pdf/2009.0968
Emotion in Reinforcement Learning Agents and Robots: A Survey
arxiv.org/pdf/1705.0517
2.搜索、推荐、社交
Reinforcement Learning based Recommender Systems: A Survey
arxiv.org/pdf/2101.0628
Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey
arxiv.org/pdf/1812.0712
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
arxiv.org/pdf/1810.0786
Reinforcement Learning Approaches in Social Robotics
arxiv.org/pdf/2009.0968
3.经济金融
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
arxiv.org/ftp/arxiv/pap
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey
arxiv.org/ftp/arxiv/pap
4.交通运输、能源
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
arxiv.org/pdf/2005.0093
Deep Reinforcement Learning for Smart Building Energy Management: A Survey
https://arxiv.org/pdf/2008.05074.pdfarxiv.org
weixin.qq.com/g/AwYAAO5<br> (二维码自动识别)
满200的话拉您进2群，加我微信 jjnuxjp5x
5.游戏
A Survey of Deep Reinforcement Learning in Video Games
arxiv.org/pdf/1912.1094
6.云计算、物联网
Reinforcement Learning-based Application Autoscaling in the Cloud: A Survey
arxiv.org/pdf/2001.0995
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
arxiv.org/pdf/1907.0905
7.自动驾驶、路径规划
Deep Reinforcement Learning for Autonomous Driving: A Survey
arxiv.org/pdf/2002.0044
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
arxiv.org/pdf/2001.1123
8.安全
Deep Reinforcement Learning for Cyber Security
arxiv.org/pdf/1906.0579
9.医疗
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
arxiv.org/pdf/1907.0947
Reinforcement Learning in Healthcare: A Survey
arxiv.org/pdf/1908.0879
10.深度学习框架
Deep Reinforcement Learning for Sequence-to-Sequence Models
arxiv.org/pdf/1805.0946
11.自动控制
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
par.nsf.gov/servlets/pu
其他
Derivative-Free Reinforcement Learning: A Review
arxiv.org/pdf/2102.0571
A SHORT SURVEY ON MEMORY BASED REINFORCEMENT LEARNING
arxiv.org/pdf/1904.0673
