Table 4 Distributer DRL
From: From distributed machine to distributed deep learning: a comprehensive survey
Algorithm | Articles | Year | No. of references | Simulation/dataset | Evaluation metrics |
|---|---|---|---|---|---|
Distributed deep reinforcement learning | [107] | 2022 | 42 | • Atari games | • Onvergence rate • Convergence time • Running time • GPU usage • Memory usage • Bandwidth consumption |
[106] | 2020 | 127 | • 5 Atari games: Asterix, • Breakout, MsPacman, Pong and SpaceInvaders • Arcade Learning Environment • DeepMind Control suite • Gym environments | • Mean and standard deviation • Speed | |
[105] | 2019 | 53 | • Atari-57 • DeepMind Lab • Google Research Football | • Training cost • Speed | |
[101] | 2018 | 41 | • Atari-57 • DMLab-30 | • Median and Mean Human-Normalized scores | |
[104] | 2018 | 40 | • Atari games | • Median and Mean Human-Normalized scores | |
[100] | 2016 | 43 | • Atari games • TORCS 3D • Mujoco • Labyrinth | • Median and Mean Human-Normalized scores | |
[98] | 2015 | 19 | • 49 games from Atari 2600 games | • Human Score |