Atari Games On Atari 2600 River Raid
평가 지표
Score
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Score |
|---|---|
| asynchronous-methods-for-deep-reinforcement | 6591.9 |
| generalized-data-distribution-iteration | 28075 |
| dueling-network-architectures-for-deep | 21162.6 |
| massively-parallel-methods-for-deep | 5310.3 |
| human-level-control-through-deep | 8316.0 |
| mastering-atari-go-chess-and-shogi-by | 323417.18 |
| a-distributional-perspective-on-reinforcement | 17322.0 |
| learning-values-across-many-orders-of | 12530.8 |
| deep-reinforcement-learning-with-double-q | 4748.5 |
| the-arcade-learning-environment-an-evaluation | 4449 |
| dueling-network-architectures-for-deep | 14884.5 |
| dueling-network-architectures-for-deep | 20607.6 |
| dna-proximal-policy-optimization-with-a-dual | 16789 |
| asynchronous-methods-for-deep-reinforcement | 12201.8 |
| recurrent-experience-replay-in-distributed | 45632.1 |
| asynchronous-methods-for-deep-reinforcement | 10001.2 |
| deep-reinforcement-learning-with-double-q | 10838.4 |
| fully-parameterized-quantile-function-for | 23560.7 |
| generalized-data-distribution-iteration | 28349 |
| evolution-strategies-as-a-scalable | 5009.0 |
| agent57-outperforming-the-atari-human | 63318.67 |
| 모델 22 | 2650.0 |
| implicit-quantile-networks-for-distributional | 17765 |
| policy-optimization-with-penalized-point | 8052.23 |
| deep-exploration-via-bootstrapped-dqn | 12845 |
| mastering-atari-with-discrete-world-models-1 | 16351 |
| online-and-offline-reinforcement-learning-by | 171673.78 |
| model-free-episodic-control-with-state | 3868 |
| train-a-real-world-local-path-planner-in-one | 24445 |
| deep-reinforcement-learning-with-double-q | 7377.6 |
| self-imitation-learning | 14306.1 |
| prioritized-experience-replay | 11807.2 |
| impala-scalable-distributed-deep-rl-with | 29608.05 |
| increasing-the-action-gap-new-operators-for | 10585.12 |
| distributed-prioritized-experience-replay | 63864.4 |
| deep-reinforcement-learning-with-double-q | 16496.8 |
| dueling-network-architectures-for-deep | 16569.4 |
| prioritized-experience-replay | 14522.3 |
| evolving-simple-programs-for-playing-atari | 2914 |
| the-arcade-learning-environment-an-evaluation | 1904.3 |
| distributional-reinforcement-learning-with-1 | 17571 |