Atari Games

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86 papers with code · Playing Games

Subtask of Video Games

The Atari 2600 Games task (and dataset) involves training an agent to achieve high game scores.

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DATASET	BEST METHOD	PAPER TITLE	COMPARE
Atari 2600 Montezuma's Revenge	RND	Exploration by Random Network Distillation	See all
Atari 2600 Venture	RND	Exploration by Random Network Distillation	See all
Atari 2600 Freeway	TRPO-hash	#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning	See all
Atari 2600 Q*Bert	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Frostbite	Prior+Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Gravitar	RND	Exploration by Random Network Distillation	See all
Atari 2600 Private Eye	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Seaquest	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Amidar	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Breakout	Bootstrapped DQN	Deep Exploration via Bootstrapped DQN	See all
Atari 2600 Enduro	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Beam Rider	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Asterix	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Alien	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Space Invaders	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Pong	DQN best	Playing Atari with Deep Reinforcement Learning	See all
Atari 2600 Assault	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Crazy Climber	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Battle Zone	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Road Runner	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Bowling	RUDDER	RUDDER: Return Decomposition for Delayed Rewards	See all
Atari 2600 Kangaroo	Prior noop	Prioritized Experience Replay	See all
Atari 2600 Up and Down	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Video Pinball	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Gopher	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Robotank	Bootstrapped DQN	Deep Exploration via Bootstrapped DQN	See all
Atari 2600 Tutankham	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Time Pilot	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Name This Game	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Ms. Pacman	Prior noop	Prioritized Experience Replay	See all
Atari 2600 Boxing	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Asteroids	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Zaxxon	A3C FF hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Ice Hockey	Prior noop	Prioritized Experience Replay	See all
Atari 2600 Tennis	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Krull	Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 James Bond	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Demon Attack	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Centipede	DDQN+Pop-Art noop	Learning values across many orders of magnitude	See all
Atari 2600 River Raid	Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Wizard of Wor	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Double Dunk	Prior noop	Prioritized Experience Replay	See all
Atari 2600 Chopper Command	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Bank Heist	Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Atlantis	ES FF (1 hour) noop	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	See all
Atari 2600 Star Gunner	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Fishing Derby	Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Kung-Fu Master	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 HERO	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Berzerk	Prior+Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Defender	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari-57	Ape-X	Distributed Prioritized Experience Replay	See all
Atari 2600 Yars Revenge	RUDDER	RUDDER: Return Decomposition for Delayed Rewards	See all
Atari 2600 Solaris	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Pitfall!	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Phoenix	Prior+Duel hs	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Surround	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Skiing	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all

Subtasks

Montezuma's Revenge

8 papers with code

Greatest papers with code

Deep Exploration via Bootstrapped DQN

NeurIPS 2016 • tensorflow/models •

Efficient exploration in complex environments remains a major challenge for reinforcement learning.

SOTA for Atari Games on Atari 2600 Breakout

ATARI GAMES EFFICIENT EXPLORATION

59,510

Paper
Code

Implicit Quantile Networks for Distributional Reinforcement Learning

ICML 2018 • google/dopamine •

In this work, we build on recent advances in distributional reinforcement learning to give a generally applicable, flexible, and state-of-the-art distributional variant of DQN.

SOTA for Atari Games on Atari 2600 Beam Rider

ATARI GAMES DISTRIBUTIONAL REINFORCEMENT LEARNING REGRESSION

8,504

Paper
Code

Prioritized Experience Replay

18 Nov 2015 • google/dopamine •

Experience replay lets online reinforcement learning agents remember and reuse experiences from the past.

SOTA for Atari Games on Atari 2600 Double Dunk

ATARI GAMES

8,504

Paper
Code

Asynchronous Methods for Deep Reinforcement Learning

4 Feb 2016 • tensorpack/tensorpack •

We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient descent for optimization of deep neural network controllers.

SOTA for Atari Games on Atari 2600 Asteroids

ATARI GAMES

5,018

Paper
Code

Dueling Network Architectures for Deep Reinforcement Learning

20 Nov 2015 • tensorpack/tensorpack •

In recent years there have been many successes of using deep representations in reinforcement learning.

SOTA for Atari Games on Atari 2600 Bank Heist

ATARI GAMES

5,018

Paper
Code

Deep Reinforcement Learning with Double Q-learning

22 Sep 2015 • tensorpack/tensorpack •

The popular Q-learning algorithm is known to overestimate action values under certain conditions.

#2 best model for Atari Games on Atari 2600 Beam Rider

ATARI GAMES Q-LEARNING

5,018

Paper
Code

Playing Atari with Deep Reinforcement Learning

19 Dec 2013 • tensorpack/tensorpack •

We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning.

SOTA for Atari Games on Atari 2600 Pong

ATARI GAMES Q-LEARNING

5,018

Paper
Code

Increasing the Action Gap: New Operators for Reinforcement Learning

15 Dec 2015 • janhuenermann/neurojs •

Extending the idea of a locally consistent operator, we then derive sufficient conditions for an operator to preserve optimality, leading to a family of operators which includes our consistent Bellman operator.

ATARI GAMES Q-LEARNING

4,270

Paper
Code

Benchmarking Deep Reinforcement Learning for Continuous Control

22 Apr 2016 • rllab/rllab •

Recently, researchers have made significant progress combining the advances in deep learning for learning feature representations with reinforcement learning.

ATARI GAMES CONTINUOUS CONTROL

2,279

Paper
Code

Distributional Reinforcement Learning with Quantile Regression

27 Oct 2017 • facebookresearch/Horizon •

In this paper, we build on recent work advocating a distributional approach to reinforcement learning in which the distribution over returns is modeled explicitly instead of only estimating the mean.

ATARI GAMES DISTRIBUTIONAL REINFORCEMENT LEARNING REGRESSION

2,269

Paper
Code

Atari Games Edit

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Subtasks

Montezuma's Revenge

Greatest papers with code

Atari Games

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