We investigate the joint transmit beamforming and reconfigurable intelli...
In continuous control, exploration is often performed through undirected...
A widely-studied deep reinforcement learning (RL) technique known as
Pri...
Compared to on-policy policy gradient techniques, off-policy model-free ...
Learning in high dimensional continuous tasks is challenging, mainly whe...
Value-based deep Reinforcement Learning (RL) algorithms suffer from the
...
The experience replay mechanism allows agents to use the experiences mul...
Approximation of the value functions in value-based deep reinforcement
l...
In value-based deep reinforcement learning methods, approximation of val...