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Reinforcement Learning

2,944 papers

Papers per year

22
14
284
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Papers

Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models AAAI 2020
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks AAAI 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020
The Choice Function Framework for Online Policy Improvement AAAI 2020
Off-Policy Evaluation in Partially Observable Environments AAAI 2020
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network AAAI 2020
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence AAAI 2020
Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract) AAAI 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020
Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning AACL 2020
Interactive Machine Comprehension with Information Seeking Agents ACL 2020
Simultaneous Translation Policies: From Fixed to Adaptive ACL 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward ACL 2020
Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020
Conditional Importance Sampling for Off-Policy Learning AISTATS 2020
A Nonparametric Off-Policy Policy Gradient AISTATS 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020
Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020