What are some ways to train, test and render an RL autonomous drone in a simulator?What is the reward function in the 10 armed test bed?What is “experience replay” and what are its benefits?What is “Policy Collapse” and what are the causes?What are the differences between multivariate data visualizations and multidimensional visualizations?What are some good papers that discuss Tufte's 'data density index' and 'data-to-ink ratio' in data visualisation?What are the practical applications of inverse reinforcement learning?What are the best free reporting tools?What are features in the context of reinforcement learning?What strategies and algorithms are suited for using the time wasted in collecting big data?What are features for state-action pairs in RL?
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What are some ways to train, test and render an RL autonomous drone in a simulator?
What is the reward function in the 10 armed test bed?What is “experience replay” and what are its benefits?What is “Policy Collapse” and what are the causes?What are the differences between multivariate data visualizations and multidimensional visualizations?What are some good papers that discuss Tufte's 'data density index' and 'data-to-ink ratio' in data visualisation?What are the practical applications of inverse reinforcement learning?What are the best free reporting tools?What are features in the context of reinforcement learning?What strategies and algorithms are suited for using the time wasted in collecting big data?What are features for state-action pairs in RL?
$begingroup$
I completed the Udacity nanodegree in Deep Learning but found the final project to be extremely difficult since the only visual feedback were from plots via matplotlib (rotor speeds, x/y/z coordinates, x/y/z velocity, etc). Is there any way to render the learning per episode as done in openai gym?
A quick search for Python game engines only confused me more in terms of which one to use.
Here is a link to the final project, ie. fly a quadcopter using DDPG algorithm: https://github.com/udacity/RL-Quadcopter-2
It has a physics_sim.py, task.py, agent.py and a main ipynb notebook.
visualization reinforcement-learning
asked Mar 18 at 13:07
flexitarian33flexitarian33
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$begingroup$
I completed the Udacity nanodegree in Deep Learning but found the final project to be extremely difficult since the only visual feedback were from plots via matplotlib (rotor speeds, x/y/z coordinates, x/y/z velocity, etc). Is there any way to render the learning per episode as done in openai gym?
A quick search for Python game engines only confused me more in terms of which one to use.
Here is a link to the final project, ie. fly a quadcopter using DDPG algorithm: https://github.com/udacity/RL-Quadcopter-2
It has a physics_sim.py, task.py, agent.py and a main ipynb notebook.
visualization reinforcement-learning
asked Mar 18 at 13:07
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I completed the Udacity nanodegree in Deep Learning but found the final project to be extremely difficult since the only visual feedback were from plots via matplotlib (rotor speeds, x/y/z coordinates, x/y/z velocity, etc). Is there any way to render the learning per episode as done in openai gym?
A quick search for Python game engines only confused me more in terms of which one to use.
Here is a link to the final project, ie. fly a quadcopter using DDPG algorithm: https://github.com/udacity/RL-Quadcopter-2
It has a physics_sim.py, task.py, agent.py and a main ipynb notebook.
visualization reinforcement-learning
asked Mar 18 at 13:07
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I completed the Udacity nanodegree in Deep Learning but found the final project to be extremely difficult since the only visual feedback were from plots via matplotlib (rotor speeds, x/y/z coordinates, x/y/z velocity, etc). Is there any way to render the learning per episode as done in openai gym?
A quick search for Python game engines only confused me more in terms of which one to use.
Here is a link to the final project, ie. fly a quadcopter using DDPG algorithm: https://github.com/udacity/RL-Quadcopter-2
It has a physics_sim.py, task.py, agent.py and a main ipynb notebook.
visualization reinforcement-learning
visualization reinforcement-learning
asked Mar 18 at 13:07
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 18 at 13:07
flexitarian33flexitarian33
407
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flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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edited Mar 20 at 9:55
flexitarian33
asked Mar 18 at 13:07
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asked Mar 18 at 13:07
flexitarian33flexitarian33
407
asked Mar 18 at 13:07
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407
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I tried contacting a few drone simulator makers including DRL (Drone Racing League) and Velocidrone but the latter does not have API for Python and DRL has not responded.
Therefore, I looked at Unity ML Agents and saw that it's possible to create a simulation environment using free drone assets:
https://unity3d.com/how-to/unity-machine-learning-agents
https://assetstore.unity.com/packages/tools/physics/free-pack-117641
And they have a Python API:
https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md
answered Mar 20 at 9:53
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$begingroup$
I tried contacting a few drone simulator makers including DRL (Drone Racing League) and Velocidrone but the latter does not have API for Python and DRL has not responded.
Therefore, I looked at Unity ML Agents and saw that it's possible to create a simulation environment using free drone assets:
https://unity3d.com/how-to/unity-machine-learning-agents
https://assetstore.unity.com/packages/tools/physics/free-pack-117641
And they have a Python API:
https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md
answered Mar 20 at 9:53
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I tried contacting a few drone simulator makers including DRL (Drone Racing League) and Velocidrone but the latter does not have API for Python and DRL has not responded.
Therefore, I looked at Unity ML Agents and saw that it's possible to create a simulation environment using free drone assets:
https://unity3d.com/how-to/unity-machine-learning-agents
https://assetstore.unity.com/packages/tools/physics/free-pack-117641
And they have a Python API:
https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md
answered Mar 20 at 9:53
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I tried contacting a few drone simulator makers including DRL (Drone Racing League) and Velocidrone but the latter does not have API for Python and DRL has not responded.
Therefore, I looked at Unity ML Agents and saw that it's possible to create a simulation environment using free drone assets:
https://unity3d.com/how-to/unity-machine-learning-agents
https://assetstore.unity.com/packages/tools/physics/free-pack-117641
And they have a Python API:
https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md
answered Mar 20 at 9:53
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I tried contacting a few drone simulator makers including DRL (Drone Racing League) and Velocidrone but the latter does not have API for Python and DRL has not responded.
Therefore, I looked at Unity ML Agents and saw that it's possible to create a simulation environment using free drone assets:
https://unity3d.com/how-to/unity-machine-learning-agents
https://assetstore.unity.com/packages/tools/physics/free-pack-117641
And they have a Python API:
https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md
answered Mar 20 at 9:53
flexitarian33flexitarian33
407
New contributor
flexitarian33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Mar 20 at 9:53
flexitarian33flexitarian33
407
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answered Mar 20 at 9:53
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answered Mar 20 at 9:53
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407
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