Atari Games On Atari 2600 Amidar

Métriques

Score

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Score	Paper Title	Repository
VPN	641	Value Prediction Network
R2D2	29321.4	Recurrent Experience Replay in Distributed Reinforcement Learning	-
A3C FF (1 day) hs	283.9	Asynchronous Methods for Deep Reinforcement Learning
GDI-I3	1442	Generalized Data Distribution Iteration	-
CURL	232.3	CURL: Contrastive Unsupervised Representations for Reinforcement Learning
DreamerV2	2577	Mastering Atari with Discrete World Models
Nature DQN	739.5	Human level control through deep reinforcement learning
Ape-X	8659.2	Distributed Prioritized Experience Replay
Prior+Duel hs	238.4	Dueling Network Architectures for Deep Reinforcement Learning
Prior+Duel hs	238.4	Deep Reinforcement Learning with Double Q-learning
POP3D	729.15	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
DQN noop	978.0	Deep Reinforcement Learning with Double Q-learning
Rainbow+SEER	250.5	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
A2C + SIL	1362	Self-Imitation Learning
Reactor 500M	1015.8	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
C51 noop	1735.0	A Distributional Perspective on Reinforcement Learning
ASL DDQN	2232.3	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
Agent57	29660.08	Agent57: Outperforming the Atari Human Benchmark
QR-DQN-1	1641	Distributional Reinforcement Learning with Quantile Regression
Persistent AL	1451.65	Increasing the Action Gap: New Operators for Reinforcement Learning

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