International Conference on Reinforcement Learning and Machine Learning

reinforcement learning
machine learning
policy optimization
value function approximation
Q-learning
deep reinforcement learning
model-free learning
model-based learning
exploration-exploitation
reward shaping
adaptive agents
autonomous learning
neural networks in RL
policy gradients
actor-critic methods
decision making
control systems
robotics RL
game AI
multi-agent reinforcement learning