Atari Games

198 papers with code • 63 benchmarks • 6 datasets

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

( Image credit: Playing Atari with Deep Reinforcement Learning )

Greatest papers with code

Deep Exploration via Bootstrapped DQN

tensorflow/models NeurIPS 2016

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

Atari Games Efficient Exploration

MICo: Learning improved representations via sampling-based state similarity for Markov decision processes

google-research/google-research 3 Jun 2021

We present a new behavioural distance over the state space of a Markov decision process, and demonstrate the use of this distance as an effective means of shaping the learnt representations of deep reinforcement learning agents.

Atari Games

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer

google-research/google-research 12 Jul 2020

Model-based reinforcement learning (RL) is appealing because (i) it enables planning and thus more strategic exploration, and (ii) by decoupling dynamics from rewards, it enables fast transfer to new reward functions.

Model-based Reinforcement Learning Montezuma's Revenge

On Catastrophic Interference in Atari 2600 Games

google-research/google-research 28 Feb 2020

Our study provides a clear empirical link between catastrophic interference and sample efficiency in reinforcement learning.

Atari Games

Model-Based Reinforcement Learning for Atari

tensorflow/tensor2tensor 1 Mar 2019

We describe Simulated Policy Learning (SimPLe), a complete model-based deep RL algorithm based on video prediction models and present a comparison of several model architectures, including a novel architecture that yields the best results in our setting.

Atari Games Model-based Reinforcement Learning +1

Implicit Quantile Networks for Distributional Reinforcement Learning

google/dopamine ICML 2018

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.

Atari Games Distributional Reinforcement Learning

Prioritized Experience Replay

google/dopamine 18 Nov 2015

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

Atari Games

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

deepmind/deepmind-research 24 Jun 2020

We hope that our suite of benchmarks will increase the reproducibility of experiments and make it possible to study challenging tasks with a limited computational budget, thus making RL research both more systematic and more accessible across the community.

Atari Games DQN Replay Dataset +1

Asynchronous Methods for Deep Reinforcement Learning

tensorpack/tensorpack 4 Feb 2016

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

Atari Games

Dueling Network Architectures for Deep Reinforcement Learning

tensorpack/tensorpack 20 Nov 2015

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

Atari Games