International Conference on Deep Reinforcement Learning and Data Science

deep reinforcement learning
policy gradients
actor-critic methods
deep Q-networks
advanced RL algorithms
robotics with DRL
game theory and DRL
simulation environments
reward optimization
exploration strategies
adaptive agents
multi-agent deep reinforcement learning
real-time DRL applications
hierarchical reinforcement learning