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I am trying to run the OpenAI gym example on a different environment than Pendulum-v0. However, I keep getting this error:
```
raise AttributeError('Cannot get attribute %s from %s' % (item, self…
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Hi, I see in this code you are outputting both linear and angular velocity and would like to know how you got around the action saturation problem?
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When I tried to train Pendulum-v0 with a recurrent-style SAC, the policy didn't improve, while it worked fine with a MLP model. The curves of the training process in Tensorboard is shown below (the r…
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I am working on the environment InvertedPendulumMuJoCoEnv-v0 and would like to change some parameters, such as the size/mass of the pole. I traced the code, and it seems the relevant parameters are in…
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I've downloaded your code and made the following small changes:
-removed all loading/checkpointing/saving functions/calls
-switched the gym environment to `env = gym.make("InvertedPendulum-v2") `
…
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Hello,
I just have a expert trajectories and no Environment/Simulator for my problem.
I was able to convert my data into the required format
`actions (126, 4)
episode_starts (127,)
rewards (0,)
…
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```python
import gym
env = gym.make("ManipulatorBringPeg-v0")
```
fails. The task name is `bring_peg`.
ps: I am happy to submit a PR and/or co-maintain this repo.
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I have this error
```
Traceback (most recent call last):
File "/home/davide/code/ML/RL/bench.py", line 37, in
exp.run(
File "/home/davide/code/mushroom-rl-benchmark/mushroom_rl_benchmark…
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exampleにある `run_qtopt.py` をPendulum-v0以外で実行しようとしたのですが、
action_spaceが`Box`でないとCEMDeterminsticsSAVFuncでエラーが起こります。
```
| observation space: Box(4,)
| action space: Discrete(2)
Traceback (most rece…
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Doesn't actually need to match `Pendulum-v0`, but they need to be able to simulate the non-hardware version of Pendulum-raas and expect that it'll work about the same when they use it with the hardwar…