Showing 1–20 of 20 results
/ Date/ Name
Jun 10, 2019A Survey of Reinforcement Learning Informed by Natural LanguageMay 28, 2018Value Propagation NetworksOct 8, 2019TorchBeast: A PyTorch Platform for Distributed RLOct 9, 2019MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed ActionsDec 1, 2016Playing Doom with SLAM-Augmented Deep Reinforcement LearningNov 1, 2016TorchCraft: a Library for Machine Learning Research on Real-Time Strategy GamesMay 24, 2017Counterfactual Multi-Agent Policy GradientsDec 13, 2019Lessons from reinforcement learning for biological representations of spaceApr 1, 2019Multitask Soft Option LearningFeb 28, 2017Stabilising Experience Replay for Deep Multi-Agent Reinforcement LearningFeb 11, 2019The StarCraft Multi-Agent ChallengeJun 24, 2020The NetHack Learning EnvironmentMar 22, 2022Insights From the NeurIPS 2021 NetHack ChallengeDec 11, 2023Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment ModelsMay 14, 2020Simulation-Based Inference for Global Health DecisionsApr 14, 2025Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusionApr 15, 2025Analysis of Preheat Propagation in MagLIF-like PlasmasJul 17, 2020WordCraft: An Environment for Benchmarking Commonsense AgentsApr 14, 2025Validation of FLASH for magnetically driven inertial confinement fusion target designOct 26, 2016Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments