Deep RL

Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 Q-learning with Logarithmic Regret AISTATS 2021 Quantitative Day Trading from Natural Language using Reinforcement Learning NAACL 2021 Quantum algorithms for reinforcement learning with a generative model ICML 2021 Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model ICLR 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR 2021 Rapid Task-Solving in Novel Environments ICLR 2021 ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021 Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ICML 2021 Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CoRL 2021 ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Reinforced Attention for Few-Shot Learning and Beyond CVPR 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks NeurIPS 2021 Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards ACL 2021 Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021 Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability Interspeech 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021