Atari Games On Atari 2600 Kangaroo

Score

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Agent57	24034.16	Agent57: Outperforming the Atari Human Benchmark
MuZero	16763.60	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Prior noop	16200.0	Prioritized Experience Replay
IQN	15487	Implicit Quantile Networks for Distributional Reinforcement Learning
QR-DQN-1	15356	Distributional Reinforcement Learning with Quantile Regression
NoisyNet-Dueling	15227	Noisy Networks for Exploration
Bootstrapped DQN	14862.5	Deep Exploration via Bootstrapped DQN
Duel noop	14854.0	Dueling Network Architectures for Deep Reinforcement Learning
GDI-H3	14636	Generalized Data Distribution Iteration	-
GDI-I3	14500	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
GDI-I3	14500	Generalized Data Distribution Iteration	-
DNA	14373	DNA: Proximal Policy Optimization with a Dual Network Architecture
R2D2	14130.7	Recurrent Experience Replay in Distributed Reinforcement Learning	-
DreamerV2	14064	Mastering Atari with Discrete World Models
MuZero (Res2 Adam)	13838	Online and Offline Reinforcement Learning by Planning with a Learned Model
DDQN+Pop-Art noop	13150.0	Learning values across many orders of magnitude	-
ASL DDQN	13027	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
DDQN (tuned) noop	12992.0	Dueling Network Architectures for Deep Reinforcement Learning
C51 noop	12853.0	A Distributional Perspective on Reinforcement Learning
Prior hs	12185.0	Prioritized Experience Replay

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