Reinforcement Learning

Towards tractable optimism in model-based reinforcement learning UAI 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NeurIPS 2021 Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021 Tractable contextual bandits beyond realizability AISTATS 2021 Trajectory Diversity for Zero-Shot Coordination ICML 2021 Transferable Dialogue Systems and User Simulators ACL 2021 Transfer Learning for Efficient Iterative Safety Validation AAAI 2021 Transient Non-stationarity and Generalisation in Deep Reinforcement Learning ICLR 2021 Translation-based Supervision for Policy Generation in Simultaneous Neural Machine Translation EMNLP 2021 Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021 Turn-Level User Satisfaction Estimation in E-commerce Customer Service ACL 2021 Twice regularized MDPs and the equivalence between robustness and regularization NeurIPS 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021 Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric L4DC 2021 Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021 Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble NeurIPS 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021 Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NeurIPS 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 Understanding the World Through Action CoRL 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation NeurIPS 2021 Universal Off-Policy Evaluation NeurIPS 2021 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021