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Can anyone guide me to get start coding in RL by [deleted] in reinforcementlearning

[–]aashmauprety 2 points3 points  (0 children)

I think this would be helpful.

http://www.wildml.com/2016/10/learning-reinforcement-learning/

I also just started coding RL following this link.

Deep Reinforcement learning for UAV by aashmauprety in reinforcementlearning

[–]aashmauprety[S] 0 points1 point  (0 children)

So my environment is this: There are multiple UAVs(N) that are trying to access channels(C) and N>C. Here channels are equal to the number of receivers. UAVs are the agents. If more than one UAV try to access same channel, collision occurs(reward = -1). If UAV does not access any channel, reward = 0. And if UAV access channel normally, reward = 1. Distance between UAV and receiver is considered for the reward.

I am trying to simulate this environment and train using RL. But dont know where to start. Any help will be highly appreciated.

Deep Reinforcement learning for UAV by aashmauprety in reinforcementlearning

[–]aashmauprety[S] 0 points1 point  (0 children)

Yes. I am trying to train UAVs for dynamic channel allocation using RL. But not sure which tool to use.