HyperAIHyperAI

Command Palette

Search for a command to run...

Plattform

Atari Games On Atari 2600 Breakout

Metriken

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Paper Title
GDI-I3(200M frames)864.00Generalized Data Distribution Iteration
GDI-H3(200M frames)864.00Generalized Data Distribution Iteration
GDI-H3864Generalized Data Distribution Iteration
GDI-I3864.00Generalized Data Distribution Iteration
Bootstrapped DQN855Deep Exploration via Bootstrapped DQN
FQF854.2Fully Parameterized Quantile Function for Distributional Reinforcement Learning
R2D2837.7Recurrent Experience Replay in Distributed Reinforcement Learning
Ape-X800.9Distributed Prioritized Experience Replay
Agent57790.4Agent57: Outperforming the Atari Human Benchmark
IMPALA (deep)787.34IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
A3C LSTM hs766.8Asynchronous Methods for Deep Reinforcement Learning
MuZero (Res2 Adam)758.04Online and Offline Reinforcement Learning by Planning with a Learned Model
C51 noop748.0A Distributional Perspective on Reinforcement Learning
QR-DQN-1742Distributional Reinforcement Learning with Quantile Regression
IQN734Implicit Quantile Networks for Distributional Reinforcement Learning
A3C FF hs681.9Asynchronous Methods for Deep Reinforcement Learning
DNA626DNA: Proximal Policy Optimization with a Dual Network Architecture
ASL DDQN621.7Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
A3C FF (1 day) hs551.6Asynchronous Methods for Deep Reinforcement Learning
Reactor 500M514.8The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
0 of 58 row(s) selected.
Atari Games On Atari 2600 Breakout | SOTA | HyperAI