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mpcrl

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  • User guide
  • Examples
  • Module reference
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  • GitHub
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  • Gradient-based off-policy learning agents
    • Off-policy Q-learning
  • Gradient-based on-policy learning agents
    • On-policy Q-learning
    • On-policy Deterministic Policy Gradient
  • Gradient-free learning agents
    • Bayesian Optimization for MPC Data-driven Tuning
  • Other examples
    • Sampling from a convex polytopes
    • Adapative Cruise Control with Input Constrained Control Barrier Function
  • Examples
  • Other examples

Other examples#

Here we include other examples that are not (strictly) related to MPC and RL.

Sampling from a convex polytopes

Sampling from a convex polytopes

Adapative Cruise Control with Input Constrained Control Barrier Function

Adapative Cruise Control with Input Constrained Control Barrier Function

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Bayesian Optimization for MPC Data-driven Tuning

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Sampling from a convex polytopes
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