Reinforcement Learning

ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning CoRL 2020 ROMA: Multi-Agent Reinforcement Learning with Emergent Roles ICML 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020 S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency CoRL 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Safe non-smooth black-box optimization with application to policy search L4DC 2020 Safe Policy Learning for Continuous Control CoRL 2020 Safe Reinforcement Learning in Constrained Markov Decision Processes ICML 2020 Safe Reinforcement Learning via Curriculum Induction NeurIPS 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020 Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020 Sample-efficient Cross-Entropy Method for Real-time Planning CoRL 2020 Sample Efficient Policy Gradient Methods with Recursive Variance Reduction ICLR 2020 Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation NeurIPS 2020 Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020 SAPIEN: A SimulAted Part-Based Interactive ENvironment CVPR 2020 Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020 Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward NeurIPS 2020 Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020 Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020 Scaling data-driven robotics with reward sketching and batch reinforcement learning RSS 2020 Scene Recomposition by Learning-Based ICP CVPR 2020 Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms NeurIPS 2020