Reinforcement Learning

Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 Learning Value Functions in Deep Policy Gradients using Residual Variance ICLR 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021 LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021 Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021 Logistic Q-Learning AISTATS 2021 Loop Estimator for Discounted Values in Markov Reward Processes AAAI 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 Minimax Model Learning AISTATS 2021 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ACL 2021 Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021 Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts IJCAI 2021 Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021 Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021 Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021 Move2Hear: Active Audio-Visual Source Separation ICCV 2021 MQA: Answering the Question via Robotic Manipulation RSS 2021 Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021 Multinomial Logit Contextual Bandits: Provable Optimality and Practicality AAAI 2021 Multi-Objective Reinforcement Learning for Designing Ethical Environments IJCAI 2021