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Reinforcement Learning

767 directly classified papers

Papers per year

Papers

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021
Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021
Visual Navigation With Spatial Attention CVPR 2021
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021
Inverse Reinforcement Learning with Natural Language Goals AAAI 2021
Self-correcting Q-learning AAAI 2021
Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning CVPR 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021
Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021
Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021
Lipschitz Lifelong Reinforcement Learning AAAI 2021
Exploration via State influence Modeling AAAI 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021
Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021
LOA: Logical Optimal Actions for Text-based Interaction Games ACL 2021
Addressing Action Oscillations through Learning Policy Inertia AAAI 2021
Relative Variational Intrinsic Control AAAI 2021
Deep Radial-Basis Value Functions for Continuous Control AAAI 2021
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models AAAI 2021