Atari Games On Atari 2600 Seaquest

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Score	Paper Title	Repository
DQN Best	1740	Playing Atari with Deep Reinforcement Learning
SAC	211.6	Soft Actor-Critic for Discrete Action Settings
MuZero	999976.52	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
DQN hs	4216.7	Deep Reinforcement Learning with Double Q-learning
A3C FF (1 day) hs	2300.2	Asynchronous Methods for Deep Reinforcement Learning
C51 noop	266434.0	A Distributional Perspective on Reinforcement Learning
Prior noop	26357.8	Prioritized Experience Replay
GDI-I3	943910	Generalized Data Distribution Iteration	-
Prior hs	25463.7	Prioritized Experience Replay
A2C + SIL	2456.5	Self-Imitation Learning
DNA	4146	DNA: Proximal Policy Optimization with a Dual Network Architecture
DDQN (tuned) hs	14498.0	Deep Reinforcement Learning with Double Q-learning
ES FF (1 hour) noop	1390.0	Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Recurrent Rational DQN Average	7460	Adaptive Rational Activations to Boost Deep Reinforcement Learning
Discrete Latent Space World Model (VQ-VAE)	635	Smaller World Models for Reinforcement Learning	-
GDI-I3	943910	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
Duel hs	37361.6	Dueling Network Architectures for Deep Reinforcement Learning
Bootstrapped DQN	9083.1	Deep Exploration via Bootstrapped DQN
Nature DQN	5286.0	Human level control through deep reinforcement learning
MAC	1703.4	Mean Actor Critic

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