Atari Games On Atari 2600 Double Dunk
المقاييس
Score
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | Score |
|---|---|
| distributional-reinforcement-learning-with-1 | 21.9 |
| mastering-atari-go-chess-and-shogi-by | 23.94 |
| self-imitation-learning | 21.5 |
| dueling-network-architectures-for-deep | 0.1 |
| massively-parallel-methods-for-deep | -11.3 |
| implicit-quantile-networks-for-distributional | 5.6 |
| dueling-network-architectures-for-deep | -12.5 |
| deep-reinforcement-learning-with-double-q | -0.3 |
| impala-scalable-distributed-deep-rl-with | -0.33 |
| generalized-data-distribution-iteration | 24 |
| prioritized-experience-replay | 18.5 |
| mastering-atari-with-discrete-world-models-1 | 17 |
| deep-reinforcement-learning-with-double-q | -10.7 |
| deep-reinforcement-learning-with-double-q | -6.6 |
| the-arcade-learning-environment-an-evaluation | 24 |
| learning-values-across-many-orders-of | -11.5 |
| asynchronous-methods-for-deep-reinforcement | 0.1 |
| human-level-control-through-deep | -18.1 |
| النموذج 19 | -16.0 |
| dueling-network-architectures-for-deep | -5.5 |
| distributed-prioritized-experience-replay | 23.5 |
| the-reactor-a-fast-and-sample-efficient-actor | 23.0 |
| dueling-network-architectures-for-deep | -0.8 |
| deep-reinforcement-learning-with-double-q | -6.0 |
| deep-exploration-via-bootstrapped-dqn | 3 |
| evolving-simple-programs-for-playing-atari | 2 |
| online-and-offline-reinforcement-learning-by | 23.91 |
| policy-optimization-with-penalized-point | -7.89 |
| the-arcade-learning-environment-an-evaluation | -13.1 |
| gdi-rethinking-what-makes-reinforcement | 24 |
| asynchronous-methods-for-deep-reinforcement | -0.1 |
| dna-proximal-policy-optimization-with-a-dual | -1.3 |
| train-a-real-world-local-path-planner-in-one | 0.1 |
| increasing-the-action-gap-new-operators-for | -2.51 |
| asynchronous-methods-for-deep-reinforcement | 0.1 |
| prioritized-experience-replay | 16.0 |
| increasing-the-action-gap-new-operators-for | -0.15 |
| generalized-data-distribution-iteration | 24 |
| agent57-outperforming-the-atari-human | 23.93 |
| recurrent-experience-replay-in-distributed | 23.7 |
| noisy-networks-for-exploration | 1 |
| a-distributional-perspective-on-reinforcement | 2.5 |
| evolution-strategies-as-a-scalable | 0.2 |