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Found 2 papers, 1 papers with code
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Our method iterates between 1) program sampling and hindsight relabeling, and 2) learning from prioritized experience replay.
Hierarchical Reinforcement Learning for Power Network Topology Control
Whereas at the highest level a purely rule-based policy is still chosen for all agents in this study, at the intermediate level the policy is trained using different state-of-the-art RL algorithms.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
