Reinforcement Learning

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 Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract) AAAI 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks NeurIPS 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning with Latent Flow NeurIPS 2021 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Relative Variational Intrinsic Control AAAI 2021 Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ICML 2021 Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021 Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization EMNLP 2021 Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract) AAAI 2021 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations IJCAI 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 Scalable Online Planning via Reinforcement Learning Fine-Tuning NeurIPS 2021 Self-correcting Q-learning AAAI 2021 Self-Improved Retrosynthetic Planning ICML 2021 Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021 SimPoE: Simulated Character Control for 3D Human Pose Estimation CVPR 2021 Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract) AAAI 2021 SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition AAAI 2021 State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021