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Hi tudngn!
I've seen your project on GitHub and I'm very interested to understand what have you done, because I'm working in a shepherd environment with imitation learning technique with obstacles an…
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This issue is for the notification of papers which will be added to this repo in the future
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Lately, there has been an explosion of interest in using Deep Reinforcement Learning to learn to play Atari 2600 games. I would like to get in on this trend by integrating this code into MM-NEAT. MM-N…
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Hello. Thank you for your amazing work. I appreciate the efforts to provide a unified library of MARL algorithms and environments for benchmarking and reproducibility. To better achieve this goal, I s…
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## What feature are you suggesting?
### Overview of request and why would this feature be useful:
I used AirSim to train a reinforcement learning agent. The purpose was to make the vehicle r…
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http://8.129.175.102/lfd2022fall-poster-session/19.html
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A feature request proposal to add support of Duel DQN, as suggested in [paper](https://arxiv.org/pdf/1511.06581.pdf) [Dueling Network Architectures for Deep Reinforcement Learning] , which is describe…
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I am trying to train a Reinforcement Learning agent using TF-Agent [TF-Agent DQN Tutorial](https://www.tensorflow.org/agents/tutorials/1_dqn_tutorial). In my application, I have 9 discrete actions (la…
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I'm using TF Agent (nightly, 0.2.0dev2019430 on Win10 and TF2.0 (GPU, 2.0.0a0).
If you run the snippet according to colab example
`
train_step_counter = tf.Variable(0)
tf_agent = dqn_age…
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To consider much larger ABMs, it would be great if we can extend Agents.jl to handle GPUs.