Methods

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model ICLR 2021 Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021 Ranking Policy Decisions NeurIPS 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 Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning IJCAI 2021 Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CoRL 2021 Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration EMNLP 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 Regularized Policies are Reward Robust AISTATS 2021 Regularized Softmax Deep Multi-Agent Q-Learning NeurIPS 2021 Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech Interspeech 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 Cost-Aware Markov Decision Processes ICML 2021