Atari Games On Atari 2600 Tennis

Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
GDI-I3	24	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-H3	24	Generalized Data Distribution Iteration
GDI-I3	24	Generalized Data Distribution Iteration
Ape-X	23.9	Distributed Prioritized Experience Replay
Agent57	23.84	Agent57: Outperforming the Atari Human Benchmark
IQN	23.6	Implicit Quantile Networks for Distributional Reinforcement Learning
QR-DQN-1	23.6	Distributional Reinforcement Learning with Quantile Regression
C51 noop	23.1	A Distributional Perspective on Reinforcement Learning
ASL DDQN	22.3	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Recurrent Rational DQN Average	20.6	Adaptive Rational Activations to Boost Deep Reinforcement Learning
Rational DQN Average	20.5	Adaptive Rational Activations to Boost Deep Reinforcement Learning
DreamerV2	14	Mastering Atari with Discrete World Models
DQN noop	12.2	Deep Reinforcement Learning with Double Q-learning
DDQN+Pop-Art noop	12.1	Learning values across many orders of magnitude
DQN hs	11.1	Deep Reinforcement Learning with Double Q-learning
Duel noop	5.1	Dueling Network Architectures for Deep Reinforcement Learning
Duel hs	4.4	Dueling Network Architectures for Deep Reinforcement Learning
UCT	2.8	The Arcade Learning Environment: An Evaluation Platform for General Agents
IMPALA (deep)	0.55	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
SARSA	0.0	-

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