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Methodology
← Methods
Reinforcement Learning
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Methods
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Deep RL
3861 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
NIPS 2019
Multi-View Reinforcement Learning
NIPS 2019
Learning from Trajectories via Subgoal Discovery
NIPS 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
NIPS 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control
NIPS 2019
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making
NIPS 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
NIPS 2019
Limiting Extrapolation in Linear Approximate Value Iteration
NIPS 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
NIPS 2019
Distributional Reward Decomposition for Reinforcement Learning
NIPS 2019
Regret Bounds for Learning State Representations in Reinforcement Learning
NIPS 2019
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
NIPS 2019
Reconciling λ-Returns with Experience Replay
NIPS 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation
NIPS 2019
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
NIPS 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
NIPS 2019
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification
IJCNLP 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
IJCNLP 2019
Learning to Ask for Conversational Machine Learning
IJCNLP 2019
Neural Topic Model with Reinforcement Learning
IJCNLP 2019
Pun-GAN: Generative Adversarial Network for Pun Generation
IJCNLP 2019
An Entity-Driven Framework for Abstractive Summarization
IJCNLP 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
IJCNLP 2019
Interactive Language Learning by Question Answering
IJCNLP 2019
Performance Guarantees for Homomorphisms beyond Markov Decision Processes
AAAI 2019
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