Atari Games On Atari 2600 Fishing Derby

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Score	Paper Title	Repository
IMPALA (deep)	44.85	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
FQF	52.7	Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Duel hs	-4.1	Dueling Network Architectures for Deep Reinforcement Learning
DDQN+Pop-Art noop	45.1	Learning values across many orders of magnitude	-
DQN noop	-4.9	Deep Reinforcement Learning with Double Q-learning
POP3D	28.99	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
CGP	-51	Evolving simple programs for playing Atari games
Duel noop	46.4	Dueling Network Architectures for Deep Reinforcement Learning
GDI-I3	59	Generalized Data Distribution Iteration	-
NoisyNet-Dueling	57	Noisy Networks for Exploration
QR-DQN-1	39	Distributional Reinforcement Learning with Quantile Regression
Ape-X	44.4	Distributed Prioritized Experience Replay
Advantage Learning	21.32	Increasing the Action Gap: New Operators for Reinforcement Learning
Best Learner	-89.5	The Arcade Learning Environment: An Evaluation Platform for General Agents
Prior hs	9.8	Prioritized Experience Replay
DreamerV2	65	Mastering Atari with Discrete World Models
A2C + SIL	55.8	Self-Imitation Learning
IDVQ + DRSC + XNES	-10	Playing Atari with Six Neurons
R2D2	85.8	Recurrent Experience Replay in Distributed Reinforcement Learning	-
GDI-I3	59	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-

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