52 results on '"reinforcement learning (RL)"'
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2. Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning
3. Driving key nodes to learn cooperation in social dilemma
4. Balanced prioritized experience replay in off-policy reinforcement learning
5. Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems
6. Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum
7. Optimization of news dissemination push mode by intelligent edge computing technology for deep learning
8. Pri-DDQN: learning adaptive traffic signal control strategy through a hybrid agent
9. A reinforcement learning-based GWO-RNN approach for energy efficiency in data centers by minimizing virtual machine migration
10. Transformer in reinforcement learning for decision-making: a survey
11. A learning-based control pipeline for generic motor skills for quadruped robots
12. Actor-critic objective penalty function method: an adaptive strategy for trajectory tracking in autonomous driving
13. A train trajectory optimization method based on the safety reinforcement learning with a relaxed dynamic reward
14. Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model
15. Externally Provided Rewards Increase Internal Preference, but Not as Much as Preferred Ones Without Extrinsic Rewards
16. Event-triggered H∞ consensus control for input-constrained multi-agent systems via reinforcement learning
17. A Comprehensive Review on Machine Learning-based Approaches for Next Generation Wireless Network
18. Joint power control and passive beamforming optimization in RIS-assisted anti-jamming communication
19. Adaptive road shoulder traffic control with reinforcement learning approach
20. Online solving Nash equilibrium solution of N-player nonzero-sum differential games via recursive least squares
21. Reinforcement learning-based model for the prevention of beam-forming vector attacks on massive MIMO system
22. Self-Adaptive LSAC-PID Approach Based on Lyapunov Reward Shaping for Mobile Robots
23. DQN Algorithm for network resource management in vehicular communication network
24. Explainable reinforcement learning for broad-XAI: a conceptual framework and survey
25. A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
26. Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes
27. Dynamic Coverage Optimization for 5G Ultra-dense Cellular Networks Based on Their User Densities
28. Self-attention reinforcement learning for multi-beam combining in mmWave 3D-MIMO systems
29. A self-learning bee colony and genetic algorithm hybrid for cloud manufacturing services
30. A Dynamic Resource Allocation Strategy with Reinforcement Learning for Multimodal Multi-objective Optimization
31. Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling
32. Using ontology to guide reinforcement learning agents in unseen situations: A traffic signal control system case study
33. A Fuzzy Q-Learning Algorithm for Storage Optimization in Islanding Microgrid
34. A Novel Heterogeneous Actor-critic Algorithm with Recent Emphasizing Replay Memory
35. On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm
36. WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning
37. An Improved Task Allocation Scheme in Serverless Computing Using Gray Wolf Optimization (GWO) Based Reinforcement Learning (RIL) Approach
38. Reinforcement learning and neural network-based artificial intelligence control algorithm for self-balancing quadruped robot
39. A Modified ALOS Method of Path Tracking for AUVs with Reinforcement Learning Accelerated by Dynamic Data-Driven AUV Model
40. Missile-Target Situation Assessment Model Based on Reinforcement Learning
41. Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information
42. Multi-agent graphical games with input constraints: an online learning solution
43. DockStream: a docking wrapper to enhance de novo molecular design
44. A multiagent player system composed by expert agents in specific game stages operating in high performance environment
45. Learning Legible Motion from Human–Robot Interactions
46. Variance-constrained actor-critic algorithms for discounted and average reward MDPs
47. Heuristic dynamic programming with internal goal representation
48. Developing reinforcement learning for adaptive co-construction of continuous high-dimensional state and action spaces
49. Adaptive co-construction of state and action spaces in reinforcement learning
50. Tunnel ventilation controller design using an RLS-based natural actor-critic algorithm
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