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It seems like the C51 agent is not working on Pong, and it can be unstable on CartPole sometimes.
Normally, for DQN like agents using e-greedy policy, we'd expect the agent to make some progress wh…
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I thought DuelingDQN is similar to DQN and they have same inputs. But the implementation of DuelingDQN in q_functions does not have the obs_size variable, which confuses me. How does it know the dime…
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Hi,
I had posted my question 8 days ago on ray discourse [[here](https://discuss.ray.io/t/rllib-multi-headed-dqn/1974)] but didn't hear back. So I am opening an issue here, as I am getting errors …
rfali updated
2 years ago
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Hi, I have some question that if i want to use DQN and DDQN to train the agent in the high_env, which json file should i choose ? I notice that there is a file named "no_dueling.json" in the /scripts/…
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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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Wang Ziyu, Schaul Tom, Hessel Matteo, van Hasselt Hado, Lanctot Marc, de Freitas Nando
http://arxiv.org/abs/1511.06581
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SOLVED
ghost updated
3 years ago
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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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**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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Hello,
I was checking policy gradient algorithm on HLE.
Firstly, I think there is something wrong with how Hanabi handles rewards (or I am missing something). I ran this simple code (similar to PG f…