Abstract: Model Predictive Control has emerged as a popular tool for robots to generate complex motions. However, the real-time requirement has limited the use of hard constraints and large preview ...
Abstract: Practical applications of reinforcement learning (RL) often demand that the agents explore safety by satisfying designed constraints. The constraints for safety cannot be satisfied with ...
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