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
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'15
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'25
Papers (including subtopics)
Policy-Regret Minimization in Markov Games with Function Approximation
ICML 2025
Position: Constants are Critical in Regret Bounds for Reinforcement Learning
ICML 2025
Position: Lifetime tuning is incompatible with continual reinforcement learning
ICML 2025
Prediction-Aware Learning in Multi-Agent Systems
ICML 2025
Predictive Red Teaming: Breaking Policies Without Breaking Robots
CoRL 2025
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
ICML 2025
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
ICML 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
JMLR 2025
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
CVPR 2025
Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins
RSS 2025
Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
ICML 2025
QuantAgents: Towards Multi-agent Financial System via Simulated Trading
EMNLP 2025
Quantifying the Self-Interest Level of Markov Social Dilemmas
IJCAI 2025
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping
ICCV 2025
Random Policy Evaluation Uncovers Policies of Generative Flow Networks
ICML 2025
Rank-One Modified Value Iteration
ICML 2025
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation
RSS 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
AAAI 2025
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
RSS 2025
Realizable Continuous-Space Shields for Safe Reinforcement Learning
L4DC 2025
Real-Time Recurrent Reinforcement Learning
AAAI 2025
Reasoning in Visual Navigation of End-to-end Trained Agents: A Dynamical Systems Approach
CVPR 2025
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
AAAI 2025
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
AAAI 2025
Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator
ICML 2025