Atari Games On Atari 2600 Gravitar

Score

Results

Performance results of various models on this benchmark

		Paper Title
Agent57	19213.96	Agent57: Outperforming the Atari Human Benchmark
R2D2	15680.7	Recurrent Experience Replay in Distributed Reinforcement Learning
MuZero (Res2 Adam)	8006.93	Online and Offline Reinforcement Learning by Planning with a Learned Model
Go-Explore	7588	First return, then explore
SND-VIC	6712	Self-supervised network distillation: an effective approach to exploration in sparse reward environments
MuZero	6682.70	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
GDI-H3	5915	Generalized Data Distribution Iteration
GDI-I3	5905	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-I3	5905	Generalized Data Distribution Iteration
SND-STD	4643	Self-supervised network distillation: an effective approach to exploration in sparse reward environments
RND	3906	Exploration by Random Network Distillation
DreamerV2	3789	Mastering Atari with Discrete World Models
UCT	2850	The Arcade Learning Environment: An Evaluation Platform for General Agents
SND-V	2741	Self-supervised network distillation: an effective approach to exploration in sparse reward environments
CGP	2350	Evolving simple programs for playing Atari games
NoisyNet-Dueling	2209	Noisy Networks for Exploration
DNA	2190	DNA: Proximal Policy Optimization with a Dual Network Architecture
A2C + SIL	1874.2	Self-Imitation Learning
Ape-X	1598.5	Distributed Prioritized Experience Replay
FQF	1406.0	Fully Parameterized Quantile Function for Distributional Reinforcement Learning

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