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Recent Notes on Machine Learning and Deep RL
Meta-Learning and MAML
Continuous Adaptation via MetaRL
Divide and Conquer RL
Subgradient methods for Saddle-Point Problems
Dual Policy Iteration
Guided Policy Search
Mirror Descent
Renyi Divergence
Soft Actor-Critic
RL and Control as Probabilistic Inference in Graphical Models
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