A projection-based visualization of critic match loss landscapes that reveals optimization paths and stability characteristics in online actor-critic reinforcement learning.
Adaptive safe reinforcement 31 learning with full-state constraints and constrained adaptation for au- tonomous vehicles.IEEE Transactions on Cybernetics, 54(3):1907–1920, 2024
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Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
A projection-based visualization of critic match loss landscapes that reveals optimization paths and stability characteristics in online actor-critic reinforcement learning.