Deep RL

Episodic Reinforcement Learning with Associative Memory ICLR 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020 Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients ICML 2020 Evaluating the Performance of Reinforcement Learning Algorithms ICML 2020 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020 ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs AACL 2020 Expected Policy Gradients for Reinforcement Learning JMLR 2020 Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning CoRL 2020 Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation AISTATS 2020 Exploration Based Language Learning for Text-Based Games IJCAI 2020 Exploration in Reinforcement Learning with Deep Covering Options ICLR 2020 Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020 Exploring Question-Specific Rewards for Generating Deep Questions COLING 2020 Fast Adaptation to New Environments via Policy-Dynamics Value Functions ICML 2020 Fast Task Inference with Variational Intrinsic Successor Features ICLR 2020 Fast Template Matching and Update for Video Object Tracking and Segmentation CVPR 2020 Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020 Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases EMNLP 2020 Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise COLT 2020 Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning AISTATS 2020 Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs NeurIPS 2020