Exploration Strategies in Deep Reinforcement Learning
An overview of key exploration strategies in Deep Reinforcement Learning, including classic methods and modern approaches for tackling hard-exploration problems.
An overview of key exploration strategies in Deep Reinforcement Learning, including classic methods and modern approaches for tackling hard-exploration problems.
An introduction to Evolution Strategies (ES) as a black-box optimization alternative to gradient descent, with applications in deep reinforcement learning.
A hands-on tutorial on implementing deep reinforcement learning models using TensorFlow and the OpenAI Gym environment.