Atari Games On Atari 2600 Double Dunk

Score

Results

Performance results of various models on this benchmark

		Paper Title	Repository
GDI-I3	24	Generalized Data Distribution Iteration	-
UCT	24	The Arcade Learning Environment: An Evaluation Platform for General Agents
GDI-H3	24	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
GDI-H3	24	Generalized Data Distribution Iteration	-
MuZero	23.94	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Agent57	23.93	Agent57: Outperforming the Atari Human Benchmark
MuZero (Res2 Adam)	23.91	Online and Offline Reinforcement Learning by Planning with a Learned Model
R2D2	23.7	Recurrent Experience Replay in Distributed Reinforcement Learning	-
Ape-X	23.5	Distributed Prioritized Experience Replay
Reactor 500M	23.0	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
QR-DQN-1	21.9	Distributional Reinforcement Learning with Quantile Regression
A2C + SIL	21.5	Self-Imitation Learning
Prior noop	18.5	Prioritized Experience Replay
DreamerV2	17	Mastering Atari with Discrete World Models
Prior hs	16.0	Prioritized Experience Replay
IQN	5.6	Implicit Quantile Networks for Distributional Reinforcement Learning
Bootstrapped DQN	3	Deep Exploration via Bootstrapped DQN
C51 noop	2.5	A Distributional Perspective on Reinforcement Learning
CGP	2	Evolving simple programs for playing Atari games
NoisyNet-Dueling	1	Noisy Networks for Exploration

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