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Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
R2D2	2061.3	Recurrent Experience Replay in Distributed Reinforcement Learning	-
GDI-H3	2500	Generalized Data Distribution Iteration	-
Best Learner	10.7	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
MP-EB	142	Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models	-
Sarsa-φ-EB	2745.4	Count-Based Exploration in Feature Space for Reinforcement Learning	-
DNA	0	DNA: Proximal Policy Optimization with a Dual Network Architecture	-
DQN+SR	1778.8	Count-Based Exploration with the Successor Representation	-
A3C FF (1 day) hs	53	Asynchronous Methods for Deep Reinforcement Learning	-
IMPALA (deep)	0.00	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	-
Prior+Duel hs	24.0	Deep Reinforcement Learning with Double Q-learning	-
A3C FF hs	67	Asynchronous Methods for Deep Reinforcement Learning	-
GDI-I3	3000	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
A2C+CoEX	6635	Contingency-Aware Exploration in Reinforcement Learning	-
Advantage Learning	0.42	Increasing the Action Gap: New Operators for Reinforcement Learning	-
POP3D	0	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization	-
Nature DQN	0	Human level control through deep reinforcement learning
DDQN-PC	3459	Unifying Count-Based Exploration and Intrinsic Motivation	-
ASL DDQN	0	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
Gorila	84	Massively Parallel Methods for Deep Reinforcement Learning	-
Sarsa-ε	399.5	Count-Based Exploration in Feature Space for Reinforcement Learning	-

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