Applications
3,394 papers (43 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
3
1
7
17
18
17
9
21
26
29
32
25
23
35
82
159
268
355
414
387
470
513
420
63
'5
'10
'15
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'25
Papers (including subtopics)
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
CoRL 2024
DrEureka: Language Model Guided Sim-To-Real Transfer
RSS 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
NeurIPS 2024
Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling
L4DC 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
NeurIPS 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents
EMNLP 2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
AAAI 2024
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
NeurIPS 2024
Efficient Constraint Generation for Stochastic Shortest Path Problems
AAAI 2024
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
ICML 2024
Efficient skill acquisition for insertion tasks in obstructed environments
L4DC 2024
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
ICML 2024
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
ICML 2024
EgoGen: An Egocentric Synthetic Data Generator
CVPR 2024
Embodied Executable Policy Learning with Language-based Scene Summarization
NAACL 2024
Embodied Human Activity Recognition
WACV 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
NeurIPS 2024
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
ICML 2024
Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method
IJCAI 2024
Enhancing Chess Reinforcement Learning with Graph Representation
NeurIPS 2024
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
IJCAI 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NeurIPS 2024
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
ICLR 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
AAAI 2024