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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension ACL 2020
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning ACL 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020
Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
How Should an Agent Practice? AAAI 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020
A Geometric Perspective on Optimal Representations for Reinforcement Learning NIPS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Hindsight Credit Assignment NIPS 2019
Metalearned Neural Memory NIPS 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NIPS 2019
Adaptive Auxiliary Task Weighting for Reinforcement Learning NIPS 2019
Generalized Off-Policy Actor-Critic NIPS 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning NIPS 2019
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search AAAI 2019
Learning Representations in Model-Free Hierarchical Reinforcement Learning AAAI 2019
Strategic Tasks for Explainable Reinforcement Learning AAAI 2019
Learning Options with Interest Functions AAAI 2019
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System AAAI 2019