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Reinforcement Learning
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Methods
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Deep RL
3,861 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
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
IJCAI 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
L4DC 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NIPS 2020
Bidirectional Model-based Policy Optimization
ICML 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
NIPS 2020
Flow-based Intrinsic Curiosity Module
IJCAI 2020
Robust Market Making via Adversarial Reinforcement Learning
IJCAI 2020
Attention-Privileged Reinforcement Learning
CORL 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
ICML 2020
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
AAAI 2020
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
AAAI 2020
Exploration Based Language Learning for Text-Based Games
IJCAI 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
AAAI 2020
Cooperative Heterogeneous Deep Reinforcement Learning
NIPS 2020
Reducing Sampling Error in Batch Temporal Difference Learning
ICML 2020
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
NIPS 2020
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
NIPS 2020
Generalized Mean Estimation in Monte-Carlo Tree Search
IJCAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
AAAI 2020
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
ICML 2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
EMNLP 2020
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering
EMNLP 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
ICML 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
INTERSPEECH 2020
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