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Rainbow: Combining Improvements in Deep Reinforcement Learning
Another great paper for consideration:
https://arxiv.org/abs/1710.02298
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### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Linux Ubuntu 18.04
- **Ray installed from (source or binary)**: binary
- **Ray version**: 0.7.6
- **Python ver…
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Thanks for your code for DRL. But I find the `dueling_agent.py` of dueling dqn is the same as `ddqn_agent.py` of double dqn. So where do you implement the dueling dqn algorithm into code?
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For reinforcement learning with Carla using CARLA_Dueling_DDQN and CARLA_DDPG, the loss is increasing. could you please help.
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Hello
I have read some papers about DQN, DDQN, Dueling, priorizated experience reply (PER) from Mnih, Hasselt between others, and they all use the same starting policy: a random amount between 0 an…
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I need to test ppo2 with a prioritized experience replay and I wonder if anyone wrote a similar integration before I go ahead and write it from scratch.
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旧リポジトリからこのリポジトリへ移行すべきプログラム一覧
```
datascience
│
├─[comp]samples_python
│ ├─[comp]README.md
│ ├─[comp]Dockerfile
│ ├─[comp]adf_test_statsmodels.ipynb(samples_py/ADFTest_StatsModels.ipynb…
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It seems there is something wrong with the Vizdoom environment.
I try `VIZDOOM_ROOT=/home/nina/ViZDoom python3 coach.py -p Doom_Basic_Dueling_DDQN` , but receive the following error.
> Traceback (m…