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# Asynchronous Methods for Deep Reinforcement Learning #
- Author: Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuo…
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# Playing Atari with Deep Reinforcement Learning #
- Author: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller
- Origin: https://ar…
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thank you so much for nice job.
I want to implement one of the algorithms without gradient in this project and compare the results with the algorithms in this project such as actorcritic, dqn ,rei…
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First, familiarize yourself with the fundamentals that will be relevant to completing this project. The following resources should help you get started with reinforcement learning, deep learning, and …
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Hi there, I get running error when trying to run an agent, any tips on solving it?
Traceback (most recent call last):
File "play.py", line 20, in
Game.fit_model()
File "/Users/maciejwia…
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Hi,
don't know if it is the right place, but it is probably relevant for anyone interested in obstacle-tower-env.
https://arxiv.org/abs/2007.02622
We have scaled up our second position approach…
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**Key Objectives:**
Pre-trained Models: We aim to provide a comprehensive collection of pre-trained models in PyTorch, spanning different domains like computer vision, natural language processing, …
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The following already works with a 'gym':
https://github.com/pytorch/examples/blob/master/reinforcement_learning/actor_critic.py
jjfiv updated
3 years ago
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# **Read before creating a new issue**
- Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
- If you do not know much about PyTorch, we recommend that the user…
QAQXS updated
7 months ago
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# **Read before creating a new issue**
- Users who want to use SpikingJelly should first be familiar with the usage of PyTorch.
- If you do not know much about PyTorch, we recommend that the user…