Deep RL

Adaptive Reward-Free Exploration ALT 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021 Addressing Action Oscillations through Learning Policy Inertia AAAI 2021 A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving AAAI 2021 A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021 Ad Headline Generation using Self-Critical Masked Language Model NAACL 2021 A DQN-based Approach to Finding Precise Evidences for Fact Verification ACL 2021 Adversarial Intrinsic Motivation for Reinforcement Learning NeurIPS 2021 Adversarially Guided Actor-Critic ICLR 2021 Agent Modelling under Partial Observability for Deep Reinforcement Learning NeurIPS 2021 Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NeurIPS 2021 A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy AAAI 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NeurIPS 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 Aligning an optical interferometer with beam divergence control and continuous action space CoRL 2021 Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly NSDI 2021 A Max-Min Entropy Framework for Reinforcement Learning NeurIPS 2021 An Enhanced Advising Model in Teacher-Student Framework using State Categorization AAAI 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NeurIPS 2021 A Provably Efficient Sample Collection Strategy for Reinforcement Learning NeurIPS 2021 APS: Active Pretraining with Successor Features ICML 2021 Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021 Automatically Exposing Problems with Neural Dialog Models EMNLP 2021