Implementation of algorithms for continuous control (DDPG and NAF).

Last update: Dec 31, 2022

Overview

DEPRECATION

This repository is deprecated and is no longer maintaned. Please see a more recent implementation of RL for continuous control at jax-sac.

Description

Reimplementation of Continuous Deep Q-Learning with Model-based Acceleration and Continuous control with deep reinforcement learning.

Contributions are welcome. If you know how to make it more stable, don't hesitate to send a pull request.

Run

Use the default hyperparameters.

For NAF:

python main.py --algo NAF --env-name HalfCheetah-v2

For DDPG

python main.py --algo DDPG --env-name HalfCheetah-v2

Owner

Ilya Kostrikov

Post doc

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