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reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

Modeling Document-Level Context for Event Detection via Important Context Selection EMNLP 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL ICML 2021
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021
Unsupervised Conversation Disentanglement through Co-Training EMNLP 2021
A Generative Framework for Simultaneous Machine Translation EMNLP 2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach EMNLP 2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement EMNLP 2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting EMNLP 2021
Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021
Learning by Watching CVPR 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning CVPR 2021
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021
Predicting Human Scanpaths in Visual Question Answering CVPR 2021
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021
Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings CVPR 2021
Visual Navigation With Spatial Attention CVPR 2021
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition CVPR 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NIPS 2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path NIPS 2021
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark NIPS 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning NIPS 2021
Multi-modal Dependency Tree for Video Captioning NIPS 2021
Teachable Reinforcement Learning via Advice Distillation NIPS 2021