پروژه یادگیری تقویتی با پایتون و پایتورچ(7409)

شرح پروژه

وقت تون بخیر خوب هستین

من یه پروژه دارم میخواهم برام انجام بدین لطفا

DDPG Algorithm implementation on PyTorch

پروژه ام الگوریتم DDPG هست و با پایتورج کار میشه

DDPG, or Deep Deterministic Policy Gradient, is a reinforcement learning algorithm designed for solving problems with continuous action spaces

تا روز جمعه

فقط الگوریتم DDPG رو درست کنین با گزارش کامل به انگلیسی

با پایتورج و پایتون کار میشه

DDPG Algorithm implementation on PyTorch environment

الگوریتم DDPG مربوط یادگیری تقویتی هست

اینم توضیحات زیر معلومات در باره اش هست که چجوری باید درست بشه 

Deep Deterministic Policy Gradient (DDPG) is an actor-critic reinforcement learning algorithm used for continuous action spaces. It combines ideas from deep Q-learning and policy gradients.

- Actor-Critic: DDPG maintains both an actor network (policy) and a critic network (value function). The actor suggests actions, while the critic evaluates those actions.

- Deterministic Policy: Unlike stochastic policies, DDPG learns a deterministic policy, mapping states to specific actions. This simplifies the learning process.

- Experience Replay: DDPG employs experience replay, storing past experiences in a replay buffer and randomly sampling batches for training. This helps break temporal correlations in the data.

- Target Networks: To stabilize training, DDPG uses target networks for both the actor and critic. These slowly track the learned networks over time.

- Q-Value Function: The critic estimates the Q-value of the current state-action pair, guiding the actor towards actions that maximize expected rewards.

- Exploration: DDPG adds noise to the selected actions during exploration to strike a balance between exploration and exploitation.

The algorithm is effective for tasks with continuous action spaces, such as robotic control or certain types of games.

مهارت ها و تخصص های مورد نیاز

درباره کارفرما

payaprozhe

عضویت پنج سال پیش

4629 پروژه ثبت شده ،

19 پروژه در حال انجام ،

14 پروژه آماده دریافت پیشنهاد ،

نرخ پذیرش پیشنهاد 64%