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)
Imitation Bootstrapped Reinforcement Learning
RSS 2024
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
IJCAI 2024
Implicit Curriculum in Procgen Made Explicit
NeurIPS 2024
Implicit Graph Search for Planning on Graphs of Convex Sets
RSS 2024
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
ICML 2024
Increasing information for model predictive control with semi-Markov decision processes
L4DC 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
NeurIPS 2024
Independent Learning in Constrained Markov Potential Games
AISTATS 2024
In-Flight Attitude Control of a Quadruped using Deep Reinforcement Learning
CoRL 2024
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
NeurIPS 2024
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
CVPR 2024
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems
NeurIPS 2024
Intelligent Switching for Reset-Free RL
ICLR 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
NeurIPS 2024
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
AAAI 2024
Iterative Regularized Policy Optimization with Imperfect Demonstrations
ICML 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NeurIPS 2024
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation
CoRL 2024
JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments
RSS 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
NeurIPS 2024
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
ACL 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
ICML 2024
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting
AAAI 2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
NeurIPS 2024
Learning and deploying robust locomotion policies with minimal dynamics randomization
L4DC 2024