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reinforcement learning

5,245 papers

RL REINFORCE

Papers

Learning to Actively Reduce Memory Requirements for Robot Control Tasks L4DC 2021 Learning to Ask Conversational Questions by Optimizing Levenshtein Distance ACL 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation ICLR 2021 Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NeurIPS 2021 Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021 Learning to Set Waypoints for Audio-Visual Navigation ICLR 2021 Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control AAAI 2021 Learning to Switch Optimizers for Quadratic Programming ACML 2021 Learning to Synthesize Programs as Interpretable and Generalizable Policies NeurIPS 2021 Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021 Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork IJCAI 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021 LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021 Lipschitz Lifelong Reinforcement Learning AAAI 2021 LOA: Logical Optimal Actions for Text-based Interaction Games ACL 2021 Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards ICML 2021 Local policy search with Bayesian optimization NeurIPS 2021 Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021 Logistic Q-Learning AISTATS 2021 Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021 ManipulaTHOR: A Framework for Visual Object Manipulation CVPR 2021 MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NeurIPS 2021