Playing Atari with Deep Reinforcement Learning

Playing Atari with Deep Reinforcement Learning - BibSonomy

Playing Atari with Deep Reinforcement Learning. V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller. (2013 )cite arxiv: ...

Google DeepMind's Deep Q-learning playing Atari Breakout!

Google DeepMind created an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a ...

Playing Atari with Deep Reinforcement Learning - Inspire HEP

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

‪Volodymyr Mnih‬ - ‪Google Scholar‬

Playing Atari with Deep Reinforcement Learning. V Mnih, K Kavukcuoglu, D Silver, A Graves, I Antonoglou, D Wierstra, ... arXiv preprint arXiv:1312.5602, 2013.

human trace data for evaluation of reinforcement learning agent ...

human trace data for evaluation of reinforcement learning agent playing Atari? ... [1509.06461] Deep Reinforcement Learning with Double Q-learning ...

Playing Atari using Deep Reinforcement Learning | Fan Pu Zeng

In this post, we study the first deep reinforcement learning model that was successfully able to learn control policies directly from high dimensional ...

Revisiting Playing Atari with Deep Reinforcement Learning

I embarked on a journey to revisit the original paper and its 2015 Nature follow-up. My goal was to recreate the results using PyTorch, gaining a deeper ...

Summary of "Playing Atari with Deep Reinforcement Learning"

The model was applied to 7 different Atari 2600 games with no changes to the architecture or algorithm, making it the same one for each game. It ...

6 Reading Playing Atari With Deep Reinforcement Learning - Scribd

6-Reading-Playing-Atari-with-Deep-Reinforcement-Learning - Free download as PDF File (.pdf), Text File (.txt) or view presentation slides online.

Mnih et al 2013 – Playing Atari with Deep Reinforcement Learning

Mnih et al 2013 – Playing Atari with Deep Reinforcement Learning · 1. background · 2. helpful links · 3. bib. bibliography/references ...

Mnih, V. (2013) Playing Atari with Deep Reinforcement Learning ...

Mnih, V. (2013) Playing Atari with Deep Reinforcement Learning. ArXiv abs/1312.5602.

Playing Atari Games with Deep Reinforcement Learning and Human ...

The proposed method, human checkpoint replay, consists in using checkpoints sampled from human gameplay as starting points for the learning process, ...

Playing Atari Games with Deep Reinforcement Learning - YouTube

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Learn how to play Atari games in 21 minutes - arXiv

We present a study in Distributed Deep Reinforcement Learning (DDRL) focused on scalability of a state-of-the-art Deep Reinforcement Learning algorithm.

Playing Atari with Deep Reinforcement Learning - OpenCUNY

Playing Atari with Deep. Reinforcement Learning. Volodymyr Mnih, et al. DeepMind Technologies. Page 2. Atari 2600 games. Page 3. Problem Statement. • Build a ...

Distributed Deep Reinforcement Learning: Learn How to Play Atari ...

List of references · Alistarh, D., Li, J., Tomioka, R., Vojnovic, M.: QSGD: Randomized quantization for communication-optimal stochastic gradient descent.

Deep Learning for Real-Time Atari Game Play Using Offline Monte ...

Abstract. The combination of modern Reinforcement Learning and Deep Learning approaches holds the promise of making significant progress on challenging ...

Playing Atari Breakout with Deep Reinforcement Learning - YouTube

A tutorial on how to make an AI / reinforcement learning agent beating human-level performance in Atari Breakout with Keras and Google Colab ...

Reinforcement Learning for Atari Breakout

“Playing atari with deep reinforcement learning.” arXiv preprint. arXiv:1312.5602 (2013). [8] Mnih, Volodymyr, et al. “Human-level control through deep ...

PLAYING ATARI WITH DEEP REINFORCEMENT LEARNING

PLAYING ATARI WITH. DEEP. REINFORCEMENT. LEARNING. Page 2. Introduction. This paper was authored by the following team at DeepMind. Technologies: Volodymyr Mnih ...