Proximal Policy Optimization (PPO)
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- Proximal policy optimization algorithms | J. Schulman, F. Wolski, P. Dhariwal, A. Radford & O. Klimov 2017
- Deep Reinforcement Learning (DRL)
- Reinforcement Learning (RL):
- Monte Carlo (MC) Method - Model Free Reinforcement Learning
- Markov Decision Process (MDP)
- Q Learning
- State-Action-Reward-State-Action (SARSA)
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- Actor Critic
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Proximal Policy Optimization with Imitation Learning (PPO-IL)
- [[Imitation Learning}}
a Reinforcement Learning (RL) algorithm that can be used for Imitation Learning. PPO-IL learns a policy that is close to the expert's policy, while also ensuring that the policy is still able to learn from its own experience.
