PEARL (probabilistic embeddings for actor-critic RL)
PEARL is a framework in reinforcement learning that utilizes probabilistic embeddings to enhance performance in actor-critic models, focusing on sample efficiency.
actor-critic
DDPG (deep deterministic policy gradient)
DDPG is a reinforcement learning algorithm that combines deep learning with deterministic policy gradients to solve continuous action space problems.