Atari Games On Atari 2600 Chopper Command

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Score	Paper Title	Repository
A2C + SIL	6710	Self-Imitation Learning
Advantage Learning	5431.36	Increasing the Action Gap: New Operators for Reinforcement Learning
GDI-H3	999999	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
CGP	3580	Evolving simple programs for playing Atari games
Prior hs	4635.0	Prioritized Experience Replay
NoisyNet-Dueling	11477	Noisy Networks for Exploration
R2D2	986652.0	Recurrent Experience Replay in Distributed Reinforcement Learning	-
POP3D	6308.33	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Ape-X	721851	Distributed Prioritized Experience Replay
DQN noop	6126.0	Deep Reinforcement Learning with Double Q-learning
Prior+Duel hs	8058.0	Deep Reinforcement Learning with Double Q-learning
DQN hs	5017.0	Deep Reinforcement Learning with Double Q-learning
MuZero	991039.70	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
IQN	16836	Implicit Quantile Networks for Distributional Reinforcement Learning
Gorila	3191.8	Massively Parallel Methods for Deep Reinforcement Learning
Reactor 500M	107779.0	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
DNA	31181	DNA: Proximal Policy Optimization with a Dual Network Architecture
FQF	876460.0	Fully Parameterized Quantile Function for Distributional Reinforcement Learning
A3C LSTM hs	10150.0	Asynchronous Methods for Deep Reinforcement Learning
C51 noop	15600.0	A Distributional Perspective on Reinforcement Learning

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