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Results tagged with deep-rl
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user 23360
For questions related to deep reinforcement learning (DRL), that is, RL combined with deep learning. More precisely, deep neural networks are used to represent e.g. value functions or policies.
1
vote
Can I add additional arguments to my custom Gym Environment?
There is a typo in
class SliceEnv(gym.Env, **braid):
def __init__(self, **braid):
Instead it should be
class SliceEnv(gym.Env):
def __init__(self, **braid):
Are you sure you need kwarg? Why …
- 284
0
votes
1
answer
279
views
How to reduce the number of episodes before the agent learns in this game?
The initial environment state is 0.25. Each time step the agent performs a discrete action of 0 or 1. If action is 1, then the new state will be state + 0.1. If action is 0, the new state will be stat …
- 284
1
vote
RL framework to optimize my custom multi-agent simulator
Disclaimer: I have only experience with the first three frameworks.
Among those three, I would suggest RLlib for the multi-agent situation:
Distributed training based on Ray library
Out-of-box multia …
- 284
2
votes
How do I get started with multi-agent reinforcement learning?
After checking the Internet, you will probably find several resources such as
https://github.com/mohammadasghari/dqn-multi-agent-rl
https://rlss.inria.fr/files/2019/07/RLSS_Multiagent.pdf
https://arx …
- 284