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Reinforcement Learning

3,118 papers

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Papers

Adaptive Approximate Policy Iteration AISTATS 2021 Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NeurIPS 2021 Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 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 A DQN-based Approach to Finding Precise Evidences for Fact Verification ACL 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NeurIPS 2021 AI-Assisted Scientific Data Collection with Iterative Human Feedback AAAI 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 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 Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 Apparently Irrational Choice as Optimal Sequential Decision Making AAAI 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning ACL 2021 ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Bandits with partially observable confounded data UAI 2021 BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NeurIPS 2021