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Sayak Mukherjee


Last seen: alrededor de 2 años hace |  Con actividad desde 2020

Followers: 0   Following: 0

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

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Pregunta


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 ...

alrededor de 2 años hace | 0 respuestas | 0

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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...

más de 2 años hace | 1 respuesta | 1

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Pregunta


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...

casi 3 años hace | 1 respuesta | 0

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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...

casi 4 años hace | 0 respuestas | 0

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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...

alrededor de 4 años hace | 0 respuestas | 0

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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. ...

alrededor de 4 años hace | 1 respuesta | 0

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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...

alrededor de 4 años hace | 1 respuesta | 0

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

alrededor de 4 años hace | 1 respuesta | 0

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