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Found 3 papers, 1 papers with code
Residual Chain Prediction for Autonomous Driving Path Planning
Our findings highlight the potential of Residual Chain Loss to revolutionize planning component of autonomous driving systems, marking a significant step forward in the quest for level 5 autonomous driving system.
Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery
Criticism 3 lies in Unsatisfactory Proof from the Perspective of Potential Equilibrium.
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
Generative Adversarial Imitation Learning (GAIL) stands as a cornerstone approach in imitation learning.
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