Atari Games On Atari 2600 Ice Hockey

Score

Results

Performance results of various models on this benchmark

		Paper Title
GDI-H3	481.9	Generalized Data Distribution Iteration
R2D2	79.3	Recurrent Experience Replay in Distributed Reinforcement Learning
MuZero	67.04	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Agent57	63.64	Agent57: Outperforming the Atari Human Benchmark
GDI-I3	44.94	Generalized Data Distribution Iteration
GDI-I3	44.94	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
MuZero (Res2 Adam)	41.66	Online and Offline Reinforcement Learning by Planning with a Learned Model
UCT	39.4	The Arcade Learning Environment: An Evaluation Platform for General Agents
Ape-X	33	Distributed Prioritized Experience Replay
DreamerV2	26	Mastering Atari with Discrete World Models
FQF	17.3	Fully Parameterized Quantile Function for Distributional Reinforcement Learning
DNA	7.2	DNA: Proximal Policy Optimization with a Dual Network Architecture
CGP	4	Evolving simple programs for playing Atari games
IMPALA (deep)	3.48	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
NoisyNet-Dueling	3	Noisy Networks for Exploration
Prior noop	1.3	Prioritized Experience Replay
Prior+Duel hs	0.5	Deep Reinforcement Learning with Double Q-learning
Duel noop	0.5	Dueling Network Architectures for Deep Reinforcement Learning
IQN	0.2	Implicit Quantile Networks for Distributional Reinforcement Learning
Prior hs	-0.2	Prioritized Experience Replay

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