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
-
Updated
Aug 15, 2024 - Python