Reinforcement Learning

f-IRL: Inverse Reinforcement Learning via State Marginal Matching CoRL 2020 First Order Constrained Optimization in Policy Space NeurIPS 2020 Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs NeurIPS 2020 Flexible and Efficient Long-Range Planning Through Curious Exploration ICML 2020 Flightmare: A Flexible Quadrotor Simulator CoRL 2020 Flow-based Intrinsic Curiosity Module IJCAI 2020 Forethought and Hindsight in Credit Assignment NeurIPS 2020 Frequency-based Search-control in Dyna ICLR 2020 Frequency Modulation of Body Waves to Improve Performance of Limbless Robots RSS 2020 Frequentist Regret Bounds for Randomized Least-Squares Value Iteration AISTATS 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 From pixels to legs: Hierarchical learning of quadruped locomotion CoRL 2020 Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NeurIPS 2020 Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020 Generalization to New Actions in Reinforcement Learning ICML 2020 Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020 Generalized Hindsight for Reinforcement Learning NeurIPS 2020 Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020 Generalized Representation Learning Methods for Deep Reinforcement Learning IJCAI 2020 Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020 Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning NeurIPS 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020