HyperAIHyperAI

Command Palette

Search for a command to run...

Plateforme

Atari Games On Atari 2600 Crazy Climber

Métriques

Score

Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
Agent57565909.85Agent57: Outperforming the Atari Human Benchmark
MuZero458315.40Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
R2D2366690.7Recurrent Experience Replay in Distributed Reinforcement Learning
Ape-X320426Distributed Prioritized Experience Replay
GDI-H3241170Generalized Data Distribution Iteration
Reactor 500M236422.0The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
FQF223470.6Fully Parameterized Quantile Function for Distributional Reinforcement Learning
GDI-I3201000GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-I3201000Generalized Data Distribution Iteration
C51 noop179877.0A Distributional Perspective on Reinforcement Learning
IQN179082Implicit Quantile Networks for Distributional Reinforcement Learning
NoisyNet-Dueling171171Noisy Networks for Exploration
ASL DDQN166019Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Prior+Duel noop162224.0Dueling Network Architectures for Deep Reinforcement Learning
DreamerV2161839Mastering Atari with Discrete World Models
QR-DQN-1161196Distributional Reinforcement Learning with Quantile Regression
MuZero (Res2 Adam)158541.58Online and Offline Reinforcement Learning by Planning with a Learned Model
Duel noop143570.0Dueling Network Architectures for Deep Reinforcement Learning
Prior noop141161.0Prioritized Experience Replay
A3C LSTM hs138518.0Asynchronous Methods for Deep Reinforcement Learning
0 of 49 row(s) selected.
Atari Games On Atari 2600 Crazy Climber | SOTA | HyperAI