Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
python
computer-vision
deep-reinforcement-learning
comparison
lbr-iiwa
rl
segmentation
autoencoders
end-to-end-learning
gym-environment
robotiq-gripper
pre-trained-models
unity-simulator
sim-to-real
stablebaselines3
robotic-grasping
state-representation
incentivized-grasping-autoencoder
igae
state-randomization
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Updated
Sep 27, 2023 - Python