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Hi, spiglerg! Thank you for replying to me so soon. However, I wonder whether removing batch normalization will significantly hurt performance for I want to test the code in "Reacher" task. I have see…
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Hi, I have just tried running Reacher-v1 for 1000000 timesteps with default settings and it didn't learn anything (it just get stuck at -12 test reward), but it looks like you made it running with som…
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What about REINFORCE algorithm?
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@LiuShuai26 Thank you for your contribution! Very helpful to me. May I ask the difference between this code and APE-X and whether this code can be used in a single machine multi-GPUs environment. Wait…
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Hello there, Marco!
I liked your idea of using Prioritized Experience Replay to improve the learning process, the concept is quite new to me so I found your work very interesting. There are some thin…
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教学中的迷宫规模都比较小,不复杂。如果想要求解大规模,如100*100的迷宫,且环境比较复杂的,应该选用什么强化学习算法?我试了几种算法,发现Q-learning貌似求出的不是最优解,而DQN的训练速度太慢,难以求得解。想请问下是什么原因导致的这些问题,随机策略选择还是其他参数设置的问题?或者有什么比较适合的强化学习算法嘛?求大神指导!谢谢!
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Consider the following improvements to DDPG, with values in parenthesis taken from Aurick (who did the SAC runs)
- [x] Use a ringbuffer dataset for faster speed
- [x] efficient ringbuffer sampling…
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Hello,
I have a question regarding the construction of replay buffers in distributed training (DDP). Across multiple workers, I would like to use a single, large prioritized replay buffer. With uni…
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Hi,
Thank you for the great project.
While testing simple_dqn I found the test score of simple_dqn is different from the DeepMind paper.
The DeepMind paper 'Prioritized Experience Replay' (http://a…
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I'm using PyTorch 1.0.1 with Cuda 10.1 and have 8 cores. I have the same 1080 TI as you have.
However, I get only half the speed when running your examples (or less) than what you indicate in the boo…