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Applications

40 directly classified papers

Subtopics

Robotics (2069) Game AI (511) Value Iteration (306) Multi-Agent Systems (264)

Papers per year

Papers

Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025
AI-Driven Multicultural Identity Preservation AAAI 2025
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring AAAI 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Self-Predictive Universal AI NIPS 2023
Layout-Based Causal Inference for Object Navigation CVPR 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023
Generalised Policy Improvement with Geometric Policy Composition ICML 2022
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems L4DC 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data NIPS 2022
Learning Long-Term Crop Management Strategies with CyclesGym NIPS 2022
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022
Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images AAAI 2021
Better Aggregation in Test-Time Augmentation ICCV 2021
Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021
Accelerating Quadratic Optimization with Reinforcement Learning NIPS 2021
Augmenting GAIL with BC for sample efficient imitation learning CORL 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020