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Hello,
I am running the code and trying to make some improvements. One thing that I came across that I am questioning is the order in which the code is performed in the env.step() function. I am cu…
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### Cautions:
**Before starting the task, please refer to [Add data of ML-YouTube-Courses](https://github.com/orgs/ocademy-ai/projects/3/views/1?filterQuery=label%3Adata&pane=issue&itemId=36101499)…
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In line 276 of CCM_MADDPG.py, I wonder why " newactor_action_var = self.actors[agent_id](states_var[:, agent_id, :]" instead of "newactor_action_var = self.actors[agent_id](next_states_var[:, agent_id…
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AGENT NAME: A3C
1.1: A3C
TITLE CartPole
layer info [20, 10, [2, 1]]
layer info [20, 10, [2, 1]]
{'learning_rate': 0.005, 'linear_hidden_units': [20, 10], 'final_layer_activation': ['SOFTMAX', …
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```
#!/bin/env python
#
# DEEP REINFORCEMENT LEARNING FOR RAYLEIGH-BENARD CONVECTION
#
# Single-Agent Reinforcement Learning launcher
#
# train_sarl.py: main launcher for …
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## TL;DR
In https://github.com/openai/gym/pull/2752, we have recently changed the Gym `Env.step` API.
In gym versions prior to v25, the step API was
```python
>>> obs, reward, done, info = env.…
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- [ ] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [x] ne…
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Please suggest how to use my dataset to create environment in this file.
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## Habitat-Lab and Habitat-Sim versions
Habitat-Lab: nightly
Habitat-Sim: master
## ❓ Questions and Help
Hi, Thank you for your brilliant work on this simulator.
I am currently working on…