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Hi @lubiluk i found this interesting project from your repo. May i know what kind of continuous control reinforcement learning algorithm that work with this environment?
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- Anything that cannot be changed arbitrarily by the agent is considered to be outside of it and thus part of its environment. The agent–environment boundary represents the limit of the agent’s absolu…
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invalid render mode human
File "C:\Users\hasee\AppData\Local\Programs\Python\python-3.9.13\Lib\site-packages\procgen\env.py", line 105, in __init__
raise Exception(f"invalid render mode {rende…
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MultiAgent RL
## 문제 설정
- 협동 => chase
- 쫒는 애들은 MARL
- 도망치는 애들은 룰기반
- combat? 싸움 알고리즘?
- 평가? 룰기반 vs MARL 에이전트
잡는게 더 쉽다
축구는 적합한 상황이 아님. 패스 정도...
## 학습
방법론
- centralized
- de…
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Check this implementation: https://medium.com/towards-data-science/deep-reinforcement-learning-and-monte-carlo-tree-search-with-connect-4-ba22a4713e7a
Create the following:
- [ ] Base class for MTC…
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Hello, I am very interested in your RL Consensus Control Ns3. I am conducting experiments on optimizing wifi routing algorithms using reinforcement learning in an ns3 network simulation environment. I…
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### Description
Extreme narrow layout produced in normal body
### (Optional:) Please add any files, screenshots, or other information here.
_No response_
### (Required) What is this issue most clo…
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episodes = 5
for episode in range(1, episodes+1):
state = env.reset()
done = False
score = 0
while not done:
env.render()
action = random.choice([0,1,2,3,…
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In [Distributional Reinforcement Learning with Quantile Regression](https://arxiv.org/pdf/1710.10044.pdf), they propose a testing environment where wind is added to the environment to make a gridworld…
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Hey Arthur,
I hope your doing fine!
I'm currently implementing a tensorflow version of the paper "Deep Successor Reinforcement Learning" for my master thesis. Somehow the learning is really unstable…