GitHub topics: incentivized-grasping-autoencoder
PetropoulakisPanagiotis/igae
State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
Language: Python - Size: 45.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
Related Keywords
autoencoders
1
computer-vision
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deep-reinforcement-learning
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embeddings
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end-to-end-learning
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gym-environment
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incentivized-grasping-autoencoder
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lbr-iiwa
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ppo-agent
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python
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reward-engineering
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robotic-grasping
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robotiq
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segmentation
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sim-to-real
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sim2real
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stablebaselines3
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state-randomization
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state-representation
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unity
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