Atari Games On Atari 2600 Breakout

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
IQN	734	Implicit Quantile Networks for Distributional Reinforcement Learning	-
A3C FF (1 day) hs	551.6	Asynchronous Methods for Deep Reinforcement Learning	-
UCT	364.4	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
SPOS Search space 1	144.4	Optimizing the Neural Architecture of Reinforcement Learning Agents	-
FQF	854.2	Fully Parameterized Quantile Function for Distributional Reinforcement Learning	-
Bootstrapped DQN	855	Deep Exploration via Bootstrapped DQN	-
CGP	13.2	Evolving simple programs for playing Atari games	-
MuZero (Res2 Adam)	758.04	Online and Offline Reinforcement Learning by Planning with a Learned Model	-
Agent57	790.4	Agent57: Outperforming the Atari Human Benchmark	-
ENAS Search space 1	161.1	Optimizing the Neural Architecture of Reinforcement Learning Agents	-
Best Learner	5.2	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
ASL DDQN	621.7	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
POP3D	458.41	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization	-
CURL	18.2	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	-
Prior+Duel hs	354.6	Deep Reinforcement Learning with Double Q-learning	-
Prior noop	373.9	Prioritized Experience Replay	-
Nature DQN	401.2	Human level control through deep reinforcement learning
Prior+Duel noop	366.0	Dueling Network Architectures for Deep Reinforcement Learning	-
DT	267.5	Decision Transformer: Reinforcement Learning via Sequence Modeling	-
DQN Best	225	Playing Atari with Deep Reinforcement Learning	-

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