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Found 3 papers, 2 papers with code
Soft Actor-Critic with Cross-Entropy Policy Optimization
For the purpose of reducing the computational complexity, we also introduce a decoupled policy structure that decouples the Gaussian policy into one policy that learns the mean and one other policy that learns the deviation such that only the mean policy is trained by CEM.
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Multiple-Intent Inverse Reinforcement Learning (MI-IRL) seeks to find a reward function ensemble to rationalize demonstrations of different but unlabelled intents.
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
This improves the previous heuristic derivation of the MaxEnt IRL model (for stochastic MDPs), allows a unified view of MaxEnt IRL and Relative Entropy IRL, and leads to a model-free learning algorithm for the MaxEnt IRL model.
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