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Found 3 papers, 1 papers with code
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Distributional reinforcement learning (DRL) has been shown to improve performance by modeling the value distribution, not just the mean.
Training Transition Policies via Distribution Matching for Complex Tasks
We introduce transition policies that smoothly connect lower-level policies by producing a distribution of states and actions that matches what is expected by the next policy.
Proximal Policy Gradient: PPO with Policy Gradient
In this paper, we propose a new algorithm PPG (Proximal Policy Gradient), which is close to both VPG (vanilla policy gradient) and PPO (proximal policy optimization).
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