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Hello, thank you for sharing this great job. I am trying to replicate the behaviour shown in the examples (Deep Q-Network). Have you trained with the network provided in the rl-agents? I have tried it…
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Hi Edouard Leurent, it is a great project for Rlers. But now I encountered a problem, when I do
"python scripts/experiments.py evaluate scripts/configs/HighwayEnv/env.json scripts/configs/HighwayEnv…
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There are several issues related to the performance of SB2 and SB3, such as [this one](https://github.com/DLR-RM/stable-baselines3/issues/90). Here, I am specifically focusing on DQN's behavior. I am …
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### What is the problem?
I just wanted to run some basic tests for DQN on the cartpole environment to check things over before running it on my own environment. I'm wondering if I somehow set up …
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### trainer automatically dies after certain time?
*Ray version (0.8.5), and other system information (Python version(3.6.0), Pytorch version, Ubuntu - 16.04):*
```
(pid=26955) *** Aborted at…
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**Your code is really good. It deserves more stars.**
I try your code in other gym environment and it train faster than other Dueling DQN implement.
Besides, I'm confuse with the name of `ddqn.p…
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### Describe the problem
Per https://github.com/ray-project/ray/pull/2737, combining all the Rainbow configs does not yield performance as expected (in fact, sometimes DQN or DDQN performs consiste…
ericl updated
3 years ago
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This is my first entry about a problem. So, please feel free to ask anything to clarify the problem.
## 🐛 Bug
I run the same code in three different machines separately. In two of them, I encount…
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Hello!I have a problem in the ego_attention.json,The problem is when use the ego_attention.json to train the agent in the env_obs_attention, the error is happend:
[ERROR] Preferred device cuda:best u…
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Looking at the implementation of DQNAgent, it appears that the implementation for creating a duelling architecture from the provided model doesn't match the proposed duelling architecture proposed in …