Atari Games

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83 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 Frostbite	Prior+Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Q*Bert	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Private Eye	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Gravitar	RND	Exploration by Random Network Distillation	See all
Atari 2600 Seaquest	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Space Invaders	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Enduro	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Pong	DQN best	Playing Atari with Deep Reinforcement Learning	See all
Atari 2600 Amidar	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 Breakout	Bootstrapped DQN	Deep Exploration via Bootstrapped DQN	See all
Atari 2600 Alien	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Assault	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Beam Rider	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Kangaroo	Prior noop	Prioritized Experience Replay	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 Bowling	DDQN+Pop-Art noop	Learning values across many orders of magnitude	See all
Atari 2600 Up and Down	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	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 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 Road Runner	A3C LSTM hs	Asynchronous Methods for Deep Reinforcement Learning	See all
Atari 2600 Krull	Duel noop	Dueling Network Architectures for Deep Reinforcement Learning	See all
Atari 2600 Demon Attack	C51 noop	A Distributional Perspective on Reinforcement Learning	See all
Atari 2600 Crazy Climber	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 Battle Zone	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Video Pinball	C51 noop	A Distributional Perspective on 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 Chopper Command	IQN	Implicit Quantile Networks for Distributional 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 Ms. Pacman	Prior noop	Prioritized Experience Replay	See all
Atari 2600 James Bond	IQN	Implicit Quantile Networks for Distributional 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 Solaris	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 Pitfall!	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Skiing	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Yars Revenge	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all
Atari 2600 Surround	IQN	Implicit Quantile Networks for Distributional Reinforcement Learning	See all

Subtasks

Montezuma's Revenge

8 papers with code

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Reinforcement Learning and Video Games

10 Sep 2019

The positive influence of this on reinforcement learning has also been proved in this study.

ATARI GAMES

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LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games

4 Sep 2019

We, however, consider the task of designing an agent that not just succeeds in a single game, but performs well across a whole family of games, sharing the same theme.

ATARI GAMES HIERARCHICAL REINFORCEMENT LEARNING

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Performing Deep Recurrent Double Q-Learning for Atari Games

16 Aug 2019

Currently, many applications in Machine Learning are based on define new models to extract more information about data, In this case Deep Reinforcement Learning with the most common application in video games like Atari, Mario, and others causes an impact in how to computers can learning by himself with only information called rewards obtained from any action.

ATARI GAMES Q-LEARNING

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Is Deep Reinforcement Learning Really Superhuman on Atari?

13 Aug 2019

In the Arcade Learning Environment (ALE), small changes in environment parameters such as stochasticity or the maximum allowed play time can lead to very different performance.

ATARI GAMES

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Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment

6 Aug 2019

This paper provides an empirical evaluation of recently developed exploration algorithms within the Arcade Learning Environment (ALE).

MONTEZUMA'S REVENGE

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Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning

24 Jul 2019

Deep reinforcement learning has achieved great successes in recent years, but there are still open challenges, such as convergence to locally optimal policies and sample inefficiency.

ATARI GAMES REPRESENTATION LEARNING

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Deep Conservative Policy Iteration

24 Jun 2019

Conservative Policy Iteration (CPI) is a founding algorithm of Approximate Dynamic Programming (ADP).

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In Hindsight: A Smooth Reward for Steady Exploration

24 Jun 2019

In classical Q-learning, the objective is to maximize the sum of discounted rewards through iteratively using the Bellman equation as an update, in an attempt to estimate the action value function of the optimal policy.

ATARI GAMES Q-LEARNING

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Learning Powerful Policies by Using Consistent Dynamics Model

11 Jun 2019

There is enough evidence that humans build a model of the environment, not only by observing the environment but also by interacting with the environment.

ATARI GAMES

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Clustered Reinforcement Learning

6 Jun 2019

Exploration strategy design is one of the challenging problems in reinforcement learning~(RL), especially when the environment contains a large state space or sparse rewards.

ATARI GAMES CONTINUOUS CONTROL EFFICIENT EXPLORATION

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Atari Games Edit

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Subtasks

Montezuma's Revenge

Latest papers without code

Atari Games

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