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I am trying to build a custom environment that will be used for training an RL trading agent. VectorBT provides a lot of functionalities for building portfolios, so I want to build on top of it. In RL…
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thread for ideas and discussions for RL env. The standard/common way in ML is to use OpenAIs Gym (https://gym.openai.com/). Currently, I am unsure if that is what we want for our environment (e.g. cuz…
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### Description
The project aims to develop a reinforcement learning (RL) agent to optimize waste collection in a simulated environment, minimizing overflow events and improving efficiency.
Environm…
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## Description
Ability to spawn multiple ShowBase instances.
```python
class MyGame(ShowBase):
pass
game1 = MyGame()
game2 = MyGame()
```
## Use Case
My use-case is using this engi…
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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …
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논문 리뷰 후보
- [ ] [Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments](http://papers.nips.cc/paper/7217-multi-agent-actor-critic-for-mixed-cooperative-competitive-environments)
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New environments to be created based on:
* [Direct Shape Optimization through Deep Reinforcement Learning](https://arxiv.org/pdf/1908.09885.pdf)
* [Aerodynamic Shape Optimization using a Novel Opt…
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Hi... I am working on an algorithm that can detect sensor/actuator failures using reinforcement learning. I want to apply this to a simulation environment. How can I adapt my malfunction scenario to r…
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