README.md

Reproduce DDPG with PARL

Based on PARL, the DDPG algorithm of deep reinforcement learning has been reproduced, reaching the same level of indicators as the paper in Mujoco benchmarks.

Paper: DDPG in Continuous control with deep reinforcement learning

Mujoco games introduction

Please see here to know more about Mujoco games.

Benchmark result

+ Each experiment was run three times with different seeds

How to use

Dependencies:

• python3.5+
• parl>=2.0.0
• paddlepaddle>=2.0.0
• gym==0.9.1
• mujoco-py==0.5.7

Start Training:

# To train an agent for HalfCheetah-v1 game
# python train.py

# To train for other game
# python train.py --env [ENV_NAME]