Nov 9, 2019 · Title:Worst Cases Policy Gradients. Authors:Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov. View a PDF of the paper titled Worst Cases ...
However, for risk-averse learning, it is desirable to maximize the expected worst cases performance instead of the average-case performance. We can accomplish ...
Worst Cases Policy Gradients · Yichuan Tang, Jian Zhang, R. Salakhutdinov · Published in Conference on Robot Learning 1 November 2019 · Computer Science.
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AuthorsYichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov. Showing page 1 of 11 of 1. Worst Cases Policy Gradients.
Our main contribution is a policy iteration algorithm that builds a set of policies in order to maximize the worst-case performance of the resulting SMP on the ...
There has been a stream of research papers on risk-sensitive RL with different objectives and constraints, such as optimizing the worst-case scenario [23, 16, ...
In the worst case, we start to overfit. But what if the learning system could critique its own learning behaviour? In a fully self-referential fashion. Learning ...
Policy ensemble gradient for continuous control problems in ...
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Sep 1, 2023 · PEG achieved higher rewards than ED2 in 5 out of 6 environments for the best policy and 4 out of 6 environments for the worst policy.
Worst Cases Policy Gradients ... Recent advances in deep reinforcement learning have demonstrated the capability of learning complex control policies from many ...
Nov 19, 2023 · There is thus at best a trade-off, which we observe in the example, and at worst both criteria are violated. The experiment illustrated in Fig 2 is ...