Atari Games On Atari 2600 Crazy Climber

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
C51 noop	179877.0	A Distributional Perspective on Reinforcement Learning
A3C FF (1 day) hs	101624.0	Asynchronous Methods for Deep Reinforcement Learning
Prior noop	141161.0	Prioritized Experience Replay
GDI-I3	201000	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
GDI-I3	201000	Generalized Data Distribution Iteration	-
IMPALA (deep)	136950.00	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Reactor 500M	236422.0	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
DDQN+Pop-Art noop	119679.0	Learning values across many orders of magnitude	-
R2D2	366690.7	Recurrent Experience Replay in Distributed Reinforcement Learning	-
DreamerV2	161839	Mastering Atari with Discrete World Models
Duel noop	143570.0	Dueling Network Architectures for Deep Reinforcement Learning
DDQN (tuned) noop	117282.0	Dueling Network Architectures for Deep Reinforcement Learning
IQN	179082	Implicit Quantile Networks for Distributional Reinforcement Learning
FQF	223470.6	Fully Parameterized Quantile Function for Distributional Reinforcement Learning
A3C FF hs	112646.0	Asynchronous Methods for Deep Reinforcement Learning
ASL DDQN	166019	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
Ape-X	320426	Distributed Prioritized Experience Replay
CGP	12900	Evolving simple programs for playing Atari games
Bootstrapped DQN	137925.9	Deep Exploration via Bootstrapped DQN
Agent57	565909.85	Agent57: Outperforming the Atari Human Benchmark

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