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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

Adaptive Auxiliary Task Weighting for Reinforcement Learning NIPS 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NIPS 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NIPS 2019
A Modular Architecture for Unsupervised Sarcasm Generation EMNLP 2019
Curriculum-guided Hindsight Experience Replay NIPS 2019
Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019
Hierarchical Macro Strategy Model for MOBA Game AI AAAI 2019
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems AAAI 2019
Hindsight Credit Assignment NIPS 2019
SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence EMNLP 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning AAAI 2019
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation ACL 2019
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning ACL 2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ACL 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NIPS 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NIPS 2019
Learning to Perform Local Rewriting for Combinatorial Optimization NIPS 2019
Learning Local Search Heuristics for Boolean Satisfiability NIPS 2019
Discovery of Useful Questions as Auxiliary Tasks NIPS 2019
Robust exploration in linear quadratic reinforcement learning NIPS 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning ICCV 2019
Self-Critical Attention Learning for Person Re-Identification ICCV 2019
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition ICCV 2019