Atari Games On Atari 2600 Ms Pacman

Score

Results

Performance results of various models on this benchmark

		Paper Title
MuZero	243401.10	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero (Res2 Adam)	70659.76	Online and Offline Reinforcement Learning by Planning with a Learned Model
Agent57	63994.44	Agent57: Outperforming the Atari Human Benchmark
R2D2	42281.7	Recurrent Experience Replay in Distributed Reinforcement Learning
UCT	22336	The Arcade Learning Environment: An Evaluation Platform for General Agents
GDI-H3	11573	Generalized Data Distribution Iteration
GDI-I3	11536	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-I3	11536	Generalized Data Distribution Iteration
Ape-X	11255.2	Distributed Prioritized Experience Replay
MFEC	8530.4004	Model-Free Episodic Control with State Aggregation
FQF	7631.9	Fully Parameterized Quantile Function for Distributional Reinforcement Learning
IMPALA (deep)	7342.32	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Prior noop	6518.7	Prioritized Experience Replay
IQN	6349	Implicit Quantile Networks for Distributional Reinforcement Learning
Duel noop	6283.5	Dueling Network Architectures for Deep Reinforcement Learning
DNA	5894	DNA: Proximal Policy Optimization with a Dual Network Architecture
QR-DQN-1	5821	Distributional Reinforcement Learning with Quantile Regression
DreamerV2	5652	Mastering Atari with Discrete World Models
NoisyNet-Dueling	5546	Noisy Networks for Exploration
DDQN+Pop-Art noop	4963.8	Learning values across many orders of magnitude

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