Atari Games On Atari 2600 Bank Heist

Metrics

Score

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MuZero (Res2 Adam)	27219.8	Online and Offline Reinforcement Learning by Planning with a Learned Model
R2D2	24235.9	Recurrent Experience Replay in Distributed Reinforcement Learning	-
Agent57	23071.5	Agent57: Outperforming the Atari Human Benchmark
Ape-X	1716.4	Distributed Prioritized Experience Replay
Duel noop	1611.9	Dueling Network Architectures for Deep Reinforcement Learning
Prior+Duel noop	1503.1	Dueling Network Architectures for Deep Reinforcement Learning
IQN	1416	Implicit Quantile Networks for Distributional Reinforcement Learning
GDI-I3	1401	Generalized Data Distribution Iteration	-
GDI-H3	1380	Generalized Data Distribution Iteration	-
ASL DDQN	1340.9	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
NoisyNet-Dueling	1318	Noisy Networks for Exploration
DNA	1286	DNA: Proximal Policy Optimization with a Dual Network Architecture
MuZero	1278.98	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Reactor 500M	1259.7	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
QR-DQN-1	1249	Distributional Reinforcement Learning with Quantile Regression
IMPALA (deep)	1223.15	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
POP3D	1212.23	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Bootstrapped DQN	1208	Deep Exploration via Bootstrapped DQN
A2C + SIL	1137.8	Self-Imitation Learning
Duel hs	1129.3	Dueling Network Architectures for Deep Reinforcement Learning

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Atari Games On Atari 2600 Bank Heist

Metrics

Results