Atari Games On Atari 2600 Robotank

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
DDQN+Pop-Art noop	64.3	Learning values across many orders of magnitude	-
FQF	75.7	Fully Parameterized Quantile Function for Distributional Reinforcement Learning	-
R2D2	100.4	Recurrent Experience Replay in Distributed Reinforcement Learning	-
Prior noop	62.6	Prioritized Experience Replay	-
Advantage Learning	69.31	Increasing the Action Gap: New Operators for Reinforcement Learning	-
DNA	64.8	DNA: Proximal Policy Optimization with a Dual Network Architecture	-
UCT	50.4	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
IMPALA (deep)	12.96	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	-
DDQN (tuned) noop	65.1	Dueling Network Architectures for Deep Reinforcement Learning	-
Prior hs	56.2	Prioritized Experience Replay	-
DreamerV2	78	Mastering Atari with Discrete World Models	-
Prior+Duel noop	27.5	Dueling Network Architectures for Deep Reinforcement Learning	-
Duel hs	62.0	Dueling Network Architectures for Deep Reinforcement Learning	-
SARSA	12.4	-	-
A3C LSTM hs	2.6	Asynchronous Methods for Deep Reinforcement Learning	-
A3C FF hs	32.8	Asynchronous Methods for Deep Reinforcement Learning	-
DQN hs	58.7	Deep Reinforcement Learning with Double Q-learning	-
Prior+Duel hs	24.7	Deep Reinforcement Learning with Double Q-learning	-
ASL DDQN	65.8	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
Bootstrapped DQN	66.6	Deep Exploration via Bootstrapped DQN	-

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