Researchers from CMU and Peking Introduces 'DiffTOP' that Uses Differentiable Trajectory Optimization to Generate the Policy Actions for Deep Reinforcement Lear...
Researchers from CMU and Peking Introduces 'DiffTOP' that Uses Differentiable Trajectory Optimization to Generate the Policy Actions for Deep Reinforcement Learning and Imitation Learning
Researchers from CMU and Peking Introduces 'DiffTOP' that Uses Differentiable Trajectory Optimization to Generate the Policy Actions for Deep Reinforcement Learning and Imitation Learning