Deep RL

ER-AE: Differentially Private Text Generation for Authorship Anonymization NAACL 2021 Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization UAI 2021 Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning L4DC 2021 Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021 Evolving Reinforcement Learning Algorithms ICLR 2021 Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks CoRL 2021 Expected Eligibility Traces AAAI 2021 Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation EACL 2021 Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021 Exploration of Unknown Environments Using Deep Reinforcement Learning AAAI 2021 Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ACL 2021 Exploring Supervised and Unsupervised Rewards in Machine Translation EACL 2021 Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2021 Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021 FACMAC: Factored Multi-Agent Centralised Policy Gradients NeurIPS 2021 Fast active learning for pure exploration in reinforcement learning ICML 2021 Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs NeurIPS 2021 Faster Policy Learning with Continuous-Time Gradients L4DC 2021 Fast Stochastic Kalman Gradient Descent for Reinforcement Learning L4DC 2021 Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case ICML 2021 Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap COLT 2021 Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm ICML 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021