Atari Games On Atari 2600 Boxing

Metrics

Score

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MuZero (Res2 Adam)	100	Online and Offline Reinforcement Learning by Planning with a Learned Model
GDI-H3	100	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
UCT	100	The Arcade Learning Environment: An Evaluation Platform for General Agents
Agent57	100	Agent57: Outperforming the Atari Human Benchmark
GDI-H3	100	Generalized Data Distribution Iteration	-
Ape-X	100	Distributed Prioritized Experience Replay
NoisyNet-Dueling	100	Noisy Networks for Exploration
MuZero	100.00	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
GDI-I3	100	Generalized Data Distribution Iteration	-
IMPALA (deep)	99.96	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
DNA	99.9	DNA: Proximal Policy Optimization with a Dual Network Architecture
QR-DQN-1	99.9	Distributional Reinforcement Learning with Quantile Regression
IQN	99.8	Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN	99.6	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
A2C + SIL	99.6	Self-Imitation Learning
Reactor 500M	99.4	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
Duel noop	99.4	Dueling Network Architectures for Deep Reinforcement Learning
DDQN+Pop-Art noop	99.3	Learning values across many orders of magnitude	-
Prior+Duel noop	98.9	Dueling Network Architectures for Deep Reinforcement Learning
R2D2	98.5	Recurrent Experience Replay in Distributed Reinforcement Learning	-

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Atari Games On Atari 2600 Boxing

Metrics

Results