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Applications

2,922 papers (40 classified directly here)

Subtopics

Robotics (2,069) Game AI (511) Value Iteration (356)

Papers per year

7
21
23
331
231
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Papers (including subtopics)

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary IJCAI 2024
Off-Agent Trust Region Policy Optimization IJCAI 2024
Look-ahead Search on Top of Policy Networks in Imperfect Information Games IJCAI 2024
Learning Pareto Set for Multi-Objective Continuous Robot Control IJCAI 2024
MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model IJCAI 2024
Synthesizing Programmatic Policy for Generalization within Task Domain IJCAI 2024
Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024
Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method IJCAI 2024
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024
MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning IJCAI 2024
HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree IJCAI 2024
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces IJCAI 2024
Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint) IJCAI 2024
Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024
Mahjong AI Competition: Exploring AI Application in Complex Real-World Games IJCAI 2024
Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” Competition IJCAI 2024
M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games IJCAI 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024
Goal-Space Planning with Subgoal Models JMLR 2024
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024