State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
python
computer-vision
unity
deep-reinforcement-learning
embeddings
lbr-iiwa
segmentation
robotiq
autoencoders
end-to-end-learning
gym-environment
sim2real
ppo-agent
reward-engineering
sim-to-real
stablebaselines3
robotic-grasping
state-representation
incentivized-grasping-autoencoder
state-randomization
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Updated
Aug 15, 2024 - Python