Sign Up to like & get
recommendations!
0
Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3063-7
Abstract: The adaptive cruise control (ACC) problem can be transformed to an optimal tracking control problem for complex nonlinear systems. In this paper, a novel highly efficient model-free adaptive dynamic programming (ADP) approach with experience replay…
read more here.
Keywords:
experience replay;
cruise control;
adaptive cruise;
experience ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-021-06816-2
Abstract: This paper studies an optimal control problem for multi-agent systems under adaptive dynamic programming (ADP) framework. To overcome the restrictions resulting from the limited calculation capabilities of agents and to prolong the lifetime of actuators,…
read more here.
Keywords:
agent systems;
experience replay;
multi agent;
simplified adp ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269879
Abstract: Deep reinforcement learning with Experience Replay (ER), including Deep Q-Network (DQN), has been used to solve many multi-step learning problems. However, in practice, DQN algorithms need better explainability, which limits their applicability in many scenarios.…
read more here.
Keywords:
episode based;
classifier system;
anticipatory classifier;
replay ... See more keywords
Sign Up to like & get
recommendations!
3
Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2990722
Abstract: Training agents via deep reinforcement learning with sparse rewards for robotic control tasks in vast state space are a big challenge, due to the rareness of successful experience. To solve this problem, recent breakthrough methods,…
read more here.
Keywords:
experience replay;
hindsight experience;
control;
experience ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2021.3081056
Abstract: High-level spinal cord injuries often result in paralysis of all four limbs, leading to decreased patient independence and quality of life. Coordinated functional electrical stimulation (FES) of paralyzed muscles can be used to restore some…
read more here.
Keywords:
musculoskeletal model;
experience replay;
reinforcement learning;
hindsight experience ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Algorithms"
DOI: 10.3390/a14080226
Abstract: State-of-the-art Deep Reinforcement Learning Algorithms such as DQN and DDPG use the concept of a replay buffer called Experience Replay. The default usage contains only the experiences that have been gathered over the runtime. We…
read more here.
Keywords:
experience replay;
deterministic environments;
non deterministic;
synthetic experiences ... See more keywords