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Atari Games On Atari 2600 Time Pilot

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Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
MuZero476763.90Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
GDI-H3450810Generalized Data Distribution Iteration
R2D2445377.3Recurrent Experience Replay in Distributed Reinforcement Learning
MuZero (Res2 Adam)424011.16Online and Offline Reinforcement Learning by Planning with a Learned Model
Agent57405425.31Agent57: Outperforming the Atari Human Benchmark
GDI-I3216770Generalized Data Distribution Iteration
GDI-I3216770GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
Ape-X87085Distributed Prioritized Experience Replay
UCT63854.5The Arcade Learning Environment: An Evaluation Platform for General Agents
IMPALA (deep)48481.50IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
DreamerV237945Mastering Atari with Discrete World Models
A3C LSTM hs27202.0Asynchronous Methods for Deep Reinforcement Learning
Rational DQN Average17632Adaptive Rational Activations to Boost Deep Reinforcement Learning
NoisyNet-Dueling17301Noisy Networks for Exploration
Recurrent Rational DQN Average13261Adaptive Rational Activations to Boost Deep Reinforcement Learning
DNA12774DNA: Proximal Policy Optimization with a Dual Network Architecture
A3C FF hs12679.0Asynchronous Methods for Deep Reinforcement Learning
IQN12236Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN12071Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
CGP12040Evolving simple programs for playing Atari games
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Atari Games On Atari 2600 Time Pilot | SOTA | HyperAI