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← Reinforcement Learning
Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
31
34
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530
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Papers (including subtopics)

Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 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
Quantitative Day Trading from Natural Language using Reinforcement Learning NAACL 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation NAACL 2021
Multitasking Inhibits Semantic Drift NAACL 2021
Ad Headline Generation using Self-Critical Masked Language Model NAACL 2021
Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly NSDI 2021
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity NSDI 2021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning NSDI 2021
Hierarchical Neural Dynamic Policies RSS 2021
MAGIC: Learning Macro-Actions for Online POMDP Planning RSS 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning RSS 2021
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021
HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing RSS 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study RSS 2021
RMP2: A Structured Composable Policy Class for Robot Learning RSS 2021
Competitive policy optimization UAI 2021
Communication efficient parallel reinforcement learning UAI 2021
Robust reinforcement learning under minimax regret for green security UAI 2021
Formal verification of neural networks for safety-critical tasks in deep reinforcement learning UAI 2021
Action redundancy in reinforcement learning UAI 2021
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization UAI 2021
Unsupervised program synthesis for images by sampling without replacement UAI 2021