Atari Games On Atari 2600 Pong

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
ES FF (1 hour) noop	21.0	Evolution Strategies as a Scalable Alternative to Reinforcement Learning
NoisyNet-Dueling	21	Noisy Networks for Exploration
DQN Best	21	Playing Atari with Deep Reinforcement Learning
GDI-I3	21	Generalized Data Distribution Iteration
ASL DDQN	21	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
GDI-I3(200M frames)	21.0	Generalized Data Distribution Iteration
IQN	21	Implicit Quantile Networks for Distributional Reinforcement Learning
R2D2	21.0	Recurrent Experience Replay in Distributed Reinforcement Learning
GDI-H3	21	Generalized Data Distribution Iteration
Duel noop	21.0	Dueling Network Architectures for Deep Reinforcement Learning
GDI-H3(200M frames)	21.0	Generalized Data Distribution Iteration
QR-DQN-1	21	Distributional Reinforcement Learning with Quantile Regression
UCT	21	The Arcade Learning Environment: An Evaluation Platform for General Agents
MuZero	21.00	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
IMPALA (deep)	20.98	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
MuZero (Res2 Adam)	20.95	Online and Offline Reinforcement Learning by Planning with a Learned Model
DDQN (tuned) noop	20.9	Dueling Network Architectures for Deep Reinforcement Learning
C51 noop	20.9	A Distributional Perspective on Reinforcement Learning
Ape-X	20.9	Distributed Prioritized Experience Replay
A2C + SIL	20.9	Self-Imitation Learning

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