Atari Games on Atari 2600 HERO

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Score

Rank	Model	Score	Best Score	Paper	Code	Year
1	Agent57	114736.26	–	Agent57: Outperforming the Atari Human Benchmark	michaelnny/deep_rl_zoo · pocokhc/agent57 · yuta0821/agent57_pytorch · +2	2020
2	MuZero	49244.11	–	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	werner-duvaud/muzero-general · opendilab/LightZero · koulanurag/muzero-pytorch · +15	2019
3	R2D2	39537.1	–	Recurrent Experience Replay in Distributed Reinforcement Learning	opendilab/DI-engine · michaelnny/deep_rl_zoo · garymm/earl	2019
4	C51 noop	38874	–	A Distributional Perspective on Reinforcement Learning	facebookresearch/Horizon · facebookresearch/ReAgent · opendilab/DI-engine · +19	2017
5	GDI-I3	38330	–	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning		2021
5	GDI-I3	38330	–	Generalized Data Distribution Iteration		2022
7	GDI-H3	38225	–	Generalized Data Distribution Iteration		2022
8	MuZero (Res2 Adam)	37234.31	–	Online and Offline Reinforcement Learning by Planning with a Learned Model	DHDev0/Muzero-unplugged · enpasos/muzero	2021
9	IMPALA (deep)	33730.55	–	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	ray-project/ray · opendilab/DI-engine · deepmind/haiku · +21	2018
10	A2C + SIL	33156.7	–	Self-Imitation Learning	junhyukoh/self-imitation-learning · rwightman/pytorch-opensim-rl · SeungeonBaek/continuous-agents-test · +1	2018
11	A3C FF hs	32464.1	–	Asynchronous Methods for Deep Reinforcement Learning	ray-project/ray · DLR-RM/stable-baselines3 · tensorpack/tensorpack · +67	2016
12	Ape-X	31655.9	–	Distributed Prioritized Experience Replay	ray-project/ray · vwxyzjn/cleanrl · opendilab/DI-engine · +12	2018
13	NoisyNet-Dueling	31533	–	Noisy Networks for Exploration	opendilab/DI-engine · Curt-Park/rainbow-is-all-you-need · chainer/chainerrl · +12	2017
14	FQF	30926.2	–	Fully Parameterized Quantile Function for Distributional Reinforcement Learning	opendilab/DI-engine · ku2482/fqf-iqn-qrdqn.pytorch · ku2482/rljax · +3	2019
15	A3C LSTM hs	28889.5	–	Asynchronous Methods for Deep Reinforcement Learning	ray-project/ray · DLR-RM/stable-baselines3 · tensorpack/tensorpack · +67	2016
16	A3C FF (1 day) hs	28765.8	–	Asynchronous Methods for Deep Reinforcement Learning	ray-project/ray · DLR-RM/stable-baselines3 · tensorpack/tensorpack · +67	2016
17	IQN	28386	–	Implicit Quantile Networks for Distributional Reinforcement Learning	opendilab/DI-engine · chainer/chainerrl · Kchu/DeepRL_CK · +16	2018
18	ASL DDQN	26578.5	–	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	xinjinghao/color	2023
19	DNA	24904	–	DNA: Proximal Policy Optimization with a Dual Network Architecture	maitchison/PPO	2022
20	Advantage Learning	24788.86	–	Increasing the Action Gap: New Operators for Reinforcement Learning	janhuenermann/neurojs · chainer/chainerrl	2015