سی و سه مقاله به زبان انگلیسی در ارتباط یادگیری تقویتی با عناوین زیر:
1- Asynchronous Methods for Deep Reinforcement Learning (2016)
2- A Reinforcement Learning Approach for Dynamic Selection of Virtual Machines in Cloud Data Centres (2016)
3- Reinforcement learning approach for train rescheduling on a single-track railway (2016)
4-Dimensionality Reduced Reinforcement Learning for Assistive Robots (2016)
5- Reinforcement-Based Learning for Process Classification Task (2016)
6- In-Hand Robotic Manipulation via Deep Reinforcement Learning (2016)
7-Deep Reinforcement Learning with Double Q-Learning (2016)
8- Cooperative Inverse Reinforcement Learning (2016)
9- An Reinforcement Learning Algorithm for the Recognition of Unstructured Road (2016)
10- Deep Reinforcement Learning for Dialogue Generation (2016)
11- Dialogue manager domain adaptation using Gaussian process reinforcement learning (2016)
12- Safe and efficient off-policy reinforcement learning (2016)
13- Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning (2016)
14- Learning to Communicate with Deep Multi-Agent Reinforcement Learning (2016)
15- Reinforcement Learning with unsupervised Auxiliary tasks (2016)
16- Resource Management with Deep Reinforcement Learning (2016)
17- Multi-Focus Attention Network for Efficient Deep Reinforcement Learning (2017)
18- Guiding Reinforcement Learning Exploration Using Natural Language (2017)
19- Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning (2017)
20- Imagination-Augmented Agents for Deep Reinforcement Learning (2017)
21- FeUdal Networks for Hierarchical Reinforcement Learning (2017)
22- Bellman Gradient Iteration for Inverse Reinforcement Learning (2017)
23- Knowledge Sharing for Reinforcement Learning (2017)
24-Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms (2017)
25-Enhanced Experience Replay Generation for Efficient Reinforcement Learning (2017)
26- Neural Architecture Search With Reinforcement Learning (2017)
27- Emotion in Reinforcement Learning Agents and Robots: A Survey. (2017)
28- A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control (2017)
29- Survey of Model-Based Reinforcement Learning: Applications on Robotics (2017)
30- Reinforcement Learning for Visual Object Detection (2017)
31- Universal Reinforcement Learning Algorithms: Survey and Experiments (2017)
32- Fairness in Reinforcement Learning (2017)
33- A Brief Survey of Deep Reinforcement Learning (2017)
#مقاله #یادگیری_تقویتی #یادگیری_تقویتی_عمیق
#Paper #ReinforcementLearning #Reinforcement_Learning #DeepReinforcementLearning
@Computer_IT_Engineering
1- Asynchronous Methods for Deep Reinforcement Learning (2016)
2- A Reinforcement Learning Approach for Dynamic Selection of Virtual Machines in Cloud Data Centres (2016)
3- Reinforcement learning approach for train rescheduling on a single-track railway (2016)
4-Dimensionality Reduced Reinforcement Learning for Assistive Robots (2016)
5- Reinforcement-Based Learning for Process Classification Task (2016)
6- In-Hand Robotic Manipulation via Deep Reinforcement Learning (2016)
7-Deep Reinforcement Learning with Double Q-Learning (2016)
8- Cooperative Inverse Reinforcement Learning (2016)
9- An Reinforcement Learning Algorithm for the Recognition of Unstructured Road (2016)
10- Deep Reinforcement Learning for Dialogue Generation (2016)
11- Dialogue manager domain adaptation using Gaussian process reinforcement learning (2016)
12- Safe and efficient off-policy reinforcement learning (2016)
13- Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning (2016)
14- Learning to Communicate with Deep Multi-Agent Reinforcement Learning (2016)
15- Reinforcement Learning with unsupervised Auxiliary tasks (2016)
16- Resource Management with Deep Reinforcement Learning (2016)
17- Multi-Focus Attention Network for Efficient Deep Reinforcement Learning (2017)
18- Guiding Reinforcement Learning Exploration Using Natural Language (2017)
19- Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning (2017)
20- Imagination-Augmented Agents for Deep Reinforcement Learning (2017)
21- FeUdal Networks for Hierarchical Reinforcement Learning (2017)
22- Bellman Gradient Iteration for Inverse Reinforcement Learning (2017)
23- Knowledge Sharing for Reinforcement Learning (2017)
24-Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms (2017)
25-Enhanced Experience Replay Generation for Efficient Reinforcement Learning (2017)
26- Neural Architecture Search With Reinforcement Learning (2017)
27- Emotion in Reinforcement Learning Agents and Robots: A Survey. (2017)
28- A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control (2017)
29- Survey of Model-Based Reinforcement Learning: Applications on Robotics (2017)
30- Reinforcement Learning for Visual Object Detection (2017)
31- Universal Reinforcement Learning Algorithms: Survey and Experiments (2017)
32- Fairness in Reinforcement Learning (2017)
33- A Brief Survey of Deep Reinforcement Learning (2017)
#مقاله #یادگیری_تقویتی #یادگیری_تقویتی_عمیق
#Paper #ReinforcementLearning #Reinforcement_Learning #DeepReinforcementLearning
@Computer_IT_Engineering