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Sayak Mukherjee


Last seen: presque 2 ans il y a |  Actif depuis 2020

Followers: 0   Following: 0

Programming Languages:
Python, MATLAB
Spoken Languages:
Bengali, English, Hindi

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Question


Mirror symmetry in actions in reinforcement learning
I am training a RL control problem to perforem neck kinematics. I want the action space to have mirror symmetry as explained in ...

presque 2 ans il y a | 1 réponse | 0

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réponse

Question


Control the exploration in soft actor-critic
What is the best way to control the exploration in SAC agent. For TD3 agent I used to control the exploration by adjusting the v...

plus de 2 ans il y a | 1 réponse | 1

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réponse

Question


Reinforcement learning agent not being saved during training
I am trying to train my model using TD3 agent. During the training process I am trying to save the agent above a certain episode...

plus de 2 ans il y a | 1 réponse | 0

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réponse

Question


Dont need to save 'savedAgentResultStruct' with RL agent
When I am saving agents during RL iterations using 'EpisodeReward' criteria, matlab is also saving 'savedAgentResultStruct' alon...

plus de 3 ans il y a | 1 réponse | 0

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Question


Change revolute joint parameter in env.ResetFcn during reinforcement learning
What is the best way to randomize the initial revolute joint angle during eacg episode of reinforcement learning right now I am...

presque 4 ans il y a | 1 réponse | 0

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réponse

Question


What is the best activation function to get action between 0 and 1 in DDPG network?
I am using DDPG network to run a control algorithm which has inputs (actions of RL agent, 23 in total) varying between 0 and 1. ...

presque 4 ans il y a | 1 réponse | 0

1

réponse

Question


Expected reward blows up while training (DDPG agent, reinforcement learning)
I am training a DDPG network and after training for around 5000 iterations, the model seems doesnot seem to converge while the e...

presque 4 ans il y a | 1 réponse | 0

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réponse

Question


Use saved reinforcement learning DDPG agent
I have saved DDPG agent using the optiopn rlTrainingOptions.SaveAgentValue = 3000 During the simulations number of agents are ...

presque 4 ans il y a | 1 réponse | 0

1

réponse