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Deep Reinforcement Learning - An IK Approach to the Reset Mechanism

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Deep Reinforcement Learning - Target Reaching

Sawyer robot learning to reach a target with paralleled Soft Actor-Critic (SAC) algorithm, using CoppeliaSim and PyRep for robot simulation. The environment is wrapped into OpenAI Gym format.

Installation

  • First, start by installing CoppeliaSim V4.2.0, previously called V-REP and PyRep, a toolkit for robot learning research, built on top of CoppeliaSim.

  • To install the required packages for SAC agent, move to the repository folder and run,

pip install -r requirements.txt
  • To train and test the policy learnt, run
python sac_learn.py --train
python sac_learn.py --test

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