Atari Games On Atari 2600 Beam Rider

Score

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
MuZero	454993.53	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
GDI-H3	422890	Generalized Data Distribution Iteration
MuZero (Res2 Adam)	333077.44	Online and Offline Reinforcement Learning by Planning with a Learned Model
Agent57	300509.8	Agent57: Outperforming the Atari Human Benchmark
R2D2	188257.4	Recurrent Experience Replay in Distributed Reinforcement Learning
GDI-I3	162100	Generalized Data Distribution Iteration
GDI-I3	162100	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
Ape-X	63305.2	Distributed Prioritized Experience Replay
IQN	42776	Implicit Quantile Networks for Distributional Reinforcement Learning
Prior+Duel hs	37412.2	Deep Reinforcement Learning with Double Q-learning
QR-DQN-1	34821	Distributional Reinforcement Learning with Quantile Regression
IMPALA (deep)	32463.47	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Prior hs	31181.3	Prioritized Experience Replay
Prior+Duel noop	30276.5	Dueling Network Architectures for Deep Reinforcement Learning
ASL DDQN	26841.6	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
A3C LSTM hs	24622.2	Asynchronous Methods for Deep Reinforcement Learning
Bootstrapped DQN	23429.8	Deep Exploration via Bootstrapped DQN
Prior noop	23384.2	Prioritized Experience Replay
NoisyNet-Dueling	23134	Noisy Networks for Exploration
A3C FF hs	22707.9	Asynchronous Methods for Deep Reinforcement Learning

0 of 49 row(s) selected.