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Atari Games On Atari 2600 Tennis

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Performance results of various models on this benchmark

Paper Title
GDI-I324GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
GDI-H324Generalized Data Distribution Iteration
GDI-I324Generalized Data Distribution Iteration
Ape-X23.9Distributed Prioritized Experience Replay
Agent5723.84Agent57: Outperforming the Atari Human Benchmark
IQN23.6Implicit Quantile Networks for Distributional Reinforcement Learning
QR-DQN-123.6Distributional Reinforcement Learning with Quantile Regression
C51 noop23.1A Distributional Perspective on Reinforcement Learning
ASL DDQN22.3Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Recurrent Rational DQN Average20.6Adaptive Rational Activations to Boost Deep Reinforcement Learning
Rational DQN Average20.5Adaptive Rational Activations to Boost Deep Reinforcement Learning
DreamerV214Mastering Atari with Discrete World Models
DQN noop12.2Deep Reinforcement Learning with Double Q-learning
DDQN+Pop-Art noop12.1Learning values across many orders of magnitude
DQN hs11.1Deep Reinforcement Learning with Double Q-learning
Duel noop5.1Dueling Network Architectures for Deep Reinforcement Learning
Duel hs4.4Dueling Network Architectures for Deep Reinforcement Learning
UCT2.8The Arcade Learning Environment: An Evaluation Platform for General Agents
IMPALA (deep)0.55IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
SARSA0.0-
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