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Methods

8,258 papers (12 classified directly here)

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Papers (including subtopics)

Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study RSS 2021 Robust Predictable Control NeurIPS 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 Robust reinforcement learning under minimax regret for green security UAI 2021 Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021 RODE: Learning Roles to Decompose Multi-Agent Tasks ICLR 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CoRL 2021 Safe Driving via Expert Guided Policy Optimization CoRL 2021 Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021 Safe Policy Optimization with Local Generalized Linear Function Approximations NeurIPS 2021 Safe Reinforcement Learning by Imagining the Near Future NeurIPS 2021 Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks L4DC 2021 Safe Reinforcement Learning Using Robust Action Governor L4DC 2021 Safe Reinforcement Learning with Linear Function Approximation ICML 2021 SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Sample Complexity of Policy Gradient Finding Second-Order Stationary Points AAAI 2021 Sample-Efficient Automated Deep Reinforcement Learning ICLR 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NeurIPS 2021