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1610.01283
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EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
International Conference on Learning Representations (ICLR), 2016
5 October 2016
Aravind Rajeswaran
Sarvjeet Ghotra
Balaraman Ravindran
Sergey Levine
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Papers citing
"EPOpt: Learning Robust Neural Network Policies Using Model Ensembles"
50 / 230 papers shown
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Understanding the Complexity Gains of Single-Task RL with a Curriculum
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One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
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Build generally reusable agent-environment interaction models
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272
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Online vs. Offline Adaptive Domain Randomization Benchmark
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A software toolkit and hardware platform for investigating and comparing robot autonomy algorithms in simulation and reality
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Aaron Young
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118
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14 Jun 2022
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Chenjia Bai
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Lei Han
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424
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Provably Sample-Efficient RL with Side Information about Latent Dynamics
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127
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Data Valuation for Offline Reinforcement Learning
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Policy Gradient Method For Robust Reinforcement Learning
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Robust Policy Learning over Multiple Uncertainty Sets
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Robust Learning from Observation with Model Misspecification
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184
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Uncertainty Aware System Identification with Universal Policies
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B. L. Semage
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293
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DROPO: Sim-to-Real Transfer with Offline Domain Randomization
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182
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Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
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Yufei Kuang
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128
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Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
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192
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Unsupervised Reinforcement Learning in Multiple Environments
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241
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Robot Learning from Randomized Simulations: A Review
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381
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Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
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Xi Xiao
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163
1
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