Trust Region Policy Optimization

John Schulman; Sergey Levine; Philipp Moritz; Michael I. Jordan; Pieter Abbeel

doi:https://doi.org/10.48550/arxiv.1502.05477

Trust Region Policy Optimization

2015 · arXiv (Cornell University) · 3,129 citations · 9 from inside this corpus

John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, Pieter Abbeel

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

10 of 10 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

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Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Deep Reinforcement Learning: A Brief Survey→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Domain randomization for transferring deep neural networks from simulation to the real wo…→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Trust Region Policy Optimization→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …Legacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …Legacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Deep Reinforcement Learning That MattersLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Deep reinforcement learning for robotic manipulation with asynchronous off-policy updatesLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …Legacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Deep Reinforcement Learning That MattersLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Addressing Function Approximation Error in Actor-Critic MethodsLegacy edge — source detail unavailable
Deep Reinforcement Learning: A Brief Survey→Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …Legacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Playing Atari with Deep Reinforcement Learning	2013	5,104

What cites it, inside the corpus

Paper	Year	Cited
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …	2017	11,354
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	5,794
Deep Reinforcement Learning: A Brief Survey	2017	4,434
Domain randomization for transferring deep neural networks from simulation to the real wo…	2017	2,890
Addressing Function Approximation Error in Actor-Critic Methods	2018	2,372
Soft Actor-Critic Algorithms and Applications	2018	1,994
Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	1,783
Deep Reinforcement Learning That Matters	2018	1,580
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	1,468

Links

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Topics

Reinforcement Learning in Robotics	Computer Science
Adversarial Robustness in Machine Learning	Computer Science
Machine Learning and Algorithms	Computer Science

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complete

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supports5 author record(s) attached.
supports32 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

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