Atari Games On Atari 2600 Beam Rider

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
A3C LSTM hs	24622.2	Asynchronous Methods for Deep Reinforcement Learning	-
Prior noop	23384.2	Prioritized Experience Replay	-
IMPALA (deep)	32463.47	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	-
DQN hs	9743.2	Deep Reinforcement Learning with Double Q-learning	-
DDQN+Pop-Art noop	8299.4	Learning values across many orders of magnitude	-
Duel noop	12164.0	Dueling Network Architectures for Deep Reinforcement Learning	-
Nature DQN	6846.0	Human level control through deep reinforcement learning
POP3D	4549	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization	-
Best Learner	929.4	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
DQN Best	5184	Playing Atari with Deep Reinforcement Learning	-
SARSA	1743.0	-	-
DreamerV2	18646	Mastering Atari with Discrete World Models	-
Gorila	3822.1	Massively Parallel Methods for Deep Reinforcement Learning	-
RIMs-PPO	5320	Recurrent Independent Mechanisms	-
Prior+Duel noop	30276.5	Dueling Network Architectures for Deep Reinforcement Learning	-
A3C FF (1 day) hs	13235.9	Asynchronous Methods for Deep Reinforcement Learning	-
CGP	1341.6	Evolving simple programs for playing Atari games	-
UCT	6624.6	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
IQ-Learn	-	IQ-Learn: Inverse soft-Q Learning for Imitation	-
MuZero (Res2 Adam)	333077.44	Online and Offline Reinforcement Learning by Planning with a Learned Model	-

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