I will train deep reinforcement learning agent for you

Experienced Reserach Engineer in Computer Vision in Reinforcement Learning proficient in training reinforcement learning agents.

Previous work include:

• Research papers implementation.
• Q learning agents to play single and multiplayer games.
• Most of OpenAI Gym environments training.
• DQN training with only NumPy from scratch.
• multiple custom made agents training.
• Training any Reinforcement Learning Agent on custom Envoirnments.

Offering state-of-the-art implementation of reinforcement learning algorithms for your custom environments or environments by OpenAI gymnasium.

Capable of handling both simple and complex environments.

• Proficient in MDPs ,TD and Q-learning.
• DQN (Deep Q-Networks)
• PPO (Proximal Policy Optimization)
• TRPO (Trust Region Policy Optimization)
• Actor-Critic Methods
• A2C (Advantage Actor-Critic)
• A3C (Asynchronous Advantage Actor-Critic)
• Monte Carlo Methods
• DDPG (Deep Deterministic Policy Gradient)
• SAC (Soft Actor-Critic)
• HER (Hindsight Experience Replay)
• ACER (Actor-Critic with Experience Replay)

Get in touch before placing your order for prompt assistance.

Rest assured, you will receive a quick response.