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reinforcement learning

4352 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (13587) policy learning (702) markov decision process (790) policy optimization (657) policy gradient (520) deep reinforcement learning (903) multi-agent system (1819) imitation learning (744) regret bound (1926) language model (4599)

Papers

Adversarial Reinforcement Learning for Unsupervised Domain Adaptation WACV 2021
Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation WACV 2021
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning NAACL 2021
Semi-Supervised Policy Initialization for Playing Games with Language Hints NAACL 2021
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds NAACL 2021
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation NAACL 2021
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021
ER-AE: Differentially Private Text Generation for Authorship Anonymization NAACL 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference NAACL 2021
ReinforceBug: A Framework to Generate Adversarial Textual Examples NAACL 2021
Ad Headline Generation using Self-Critical Masked Language Model NAACL 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021
Unsupervised Skill Discovery with Bottleneck Option Learning ICML 2021
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning ICML 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021
Muesli: Combining Improvements in Policy Optimization ICML 2021
Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021
Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021
High Confidence Generalization for Reinforcement Learning ICML 2021
Revisiting Peng’s Q($λ$) for Modern Reinforcement Learning ICML 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021