HyperAIHyperAI

Command Palette

Search for a command to run...

Plateforme

Atari Games On Atari 2600 Up And Down

Métriques

Score

Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
GDI-I3986440GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-I3986440Generalized Data Distribution Iteration
GDI-H3966590Generalized Data Distribution Iteration
MuZero715545.61Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
DreamerV2653662Mastering Atari with Discrete World Models
MuZero (Res2 Adam)634898.18Online and Offline Reinforcement Learning by Planning with a Learned Model
Agent57623805.73Agent57: Outperforming the Atari Human Benchmark
R2D2589226.9Recurrent Experience Replay in Distributed Reinforcement Learning
Ape-X401884.3Distributed Prioritized Experience Replay
RIMs-PPO390000Recurrent Independent Mechanisms
IMPALA (deep)332546.75IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
DNA291934DNA: Proximal Policy Optimization with a Dual Network Architecture
POP3D242701.51Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
A3C LSTM hs105728.7Asynchronous Methods for Deep Reinforcement Learning
IQN88148Implicit Quantile Networks for Distributional Reinforcement Learning
A3C FF hs74705.7Asynchronous Methods for Deep Reinforcement Learning
UCT74473.6The Arcade Learning Environment: An Evaluation Platform for General Agents
QR-DQN-171260Distributional Reinforcement Learning with Quantile Regression
ES FF (1 hour) noop67974.0Evolution Strategies as a Scalable Alternative to Reinforcement Learning
NoisyNet-Dueling61326Noisy Networks for Exploration
0 of 44 row(s) selected.
Atari Games On Atari 2600 Up And Down | SOTA | HyperAI