Methods › Reinforcement Learning › Policy Gradient Methods › TRPO › Papers where code ran, page 1
Trust Region Policy Optimization
TRPO
Papers archive 2025-07-28
archive papers tagged: 81 · with a code link: 36 · where Syntology ran a sample: 10 (9 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (10 of 81 tagged: 9 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 10 of the 10 tagged papers where Syntology ran at least one harvested sample (9 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Distributional Soft Actor-Critic with Three Refinements 9 Oct 2023 · 2 repositories · arXiv:2310.05858Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees 24 May 2023 · 1 repository · arXiv:2305.15249Syntology official (archive's flag): 1 ran · 1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; the one sample that ran constructed an object rather than computing a result (of 2 harvested samples) · 2 pointer-only (licence)
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Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization 5 Feb 2023 · 1 repository · arXiv:2302.02299Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified (of 12 harvested samples) · 12 pointer-only (licence)
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Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking 15 Nov 2020 · 1 repository · arXiv:2011.07537Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
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Multi-Agent Trust Region Policy Optimization 15 Oct 2020 · 1 repository · arXiv:2010.07916Syntology 16 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 18 harvested samples) · 7 pointer-only (licence)
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Optimistic Distributionally Robust Policy Optimization 14 Jun 2020 · 1 repository · arXiv:2006.07815Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO 25 May 2020 · 3 repositories · arXiv:2005.12729Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Parameter Space Noise for Exploration 6 Jun 2017 · 10 repositories · arXiv:1706.01905Syntology 4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 · 85 repositories · arXiv:1703.03400Syntology official (archive's flag): 1 ran · 103 ran (of which 35 constructed an object rather than computing a result; 72 with no instrument failure: 6 honoured, 1 violated, 65 with no contract checked; 31 where Syntology's instrument failed) · 51 unverified (of 154 harvested samples) · 57 pointer-only (licence)
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Trust Region Policy Optimization 19 Feb 2015 · 24 repositories · arXiv:1502.05477Syntology 7 ran (of which 2 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 10 unverified (of 17 harvested samples) · 7 pointer-only (licence)