Atari Games On Atari 2600 Skiing

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
GDI-I3	-6774	Generalized Data Distribution Iteration	-
DNA	-29974	DNA: Proximal Policy Optimization with a Dual Network Architecture	-
FQF	-9085.3	Fully Parameterized Quantile Function for Distributional Reinforcement Learning	-
QR-DQN-1	-9324	Distributional Reinforcement Learning with Quantile Regression	-
Rational DQN Average	-23487	Adaptive Rational Activations to Boost Deep Reinforcement Learning	-
Full Tree	0	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
Recurrent Rational DQN Average	-23582	Adaptive Rational Activations to Boost Deep Reinforcement Learning	-
NoisyNet-Dueling	-7550	Noisy Networks for Exploration	-
IQN	-9289	Implicit Quantile Networks for Distributional Reinforcement Learning	-
GDI-I3	-6774	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
ASL DDQN	-8295.4	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
Go-Explore	-3660	First return, then explore	-
Ape-X	-10789.9	Distributed Prioritized Experience Replay	-
Agent57	-4202.6	Agent57: Outperforming the Atari Human Benchmark	-
Best Learner	0	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
MuZero (Res2 Adam)	-30000	Online and Offline Reinforcement Learning by Planning with a Learned Model	-
MuZero	-29968.36	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	-
R2D2	-30021.7	Recurrent Experience Replay in Distributed Reinforcement Learning	-
CGP	-9011	Evolving simple programs for playing Atari games	-
Advantage Learning	-13264.51	Increasing the Action Gap: New Operators for Reinforcement Learning	-

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