Atari Games On Atari 2600 Chopper Command

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评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
GDI-H3999999GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
GDI-I3999999Generalized Data Distribution Iteration-
GDI-H3999999Generalized Data Distribution Iteration-
Agent57999900Agent57: Outperforming the Atari Human Benchmark
MuZero991039.70Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
R2D2986652.0Recurrent Experience Replay in Distributed Reinforcement Learning-
FQF876460.0Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Ape-X721851Distributed Prioritized Experience Replay
Reactor 500M107779.0The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning-
UCT34018.8The Arcade Learning Environment: An Evaluation Platform for General Agents
DNA31181DNA: Proximal Policy Optimization with a Dual Network Architecture
IMPALA (deep)28255.00IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
IQN16836Implicit Quantile Networks for Distributional Reinforcement Learning
C51 noop15600.0A Distributional Perspective on Reinforcement Learning
ASL DDQN15071Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
QR-DQN-114667Distributional Reinforcement Learning with Quantile Regression
Prior+Duel noop13185.0Dueling Network Architectures for Deep Reinforcement Learning
NoisyNet-Dueling11477Noisy Networks for Exploration
Duel noop11215.0Dueling Network Architectures for Deep Reinforcement Learning
A3C LSTM hs10150.0Asynchronous Methods for Deep Reinforcement Learning
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