Deep RL

Flexible and Efficient Long-Range Planning Through Curious Exploration ICML 2020 Flow-based Intrinsic Curiosity Module IJCAI 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 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 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 Generating Persona Consistent Dialogues by Exploiting Natural Language Inference AAAI 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 2020 Generative Exploration and Exploitation AAAI 2020 Geometric Insights into the Convergence of Nonlinear TD Learning ICLR 2020 Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 Gradient Temporal-Difference Learning with Regularized Corrections ICML 2020 Graph Constrained Reinforcement Learning for Natural Language Action Spaces ICLR 2020 Growing Action Spaces ICML 2020 Guided Dialogue Policy Learning without Adversarial Learning in the Loop EMNLP 2020 Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time L4DC 2020