PARL/examples/DDPG

• Reproduce DDPG with PARL
• • Mujoco games introduction
  • Benchmark result
• How to use
• • Dependencies:
  • Start Training:

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 Atari benchmarks.

Paper: DDPG in Continuous control with deep reinforcement learning

Mujoco games introduction

Please see here to know more about Mujoco games.

Benchmark result

How to use

Dependencies:

• python3.5+
• paddlepaddle>=1.8.5
• parl
• gym
• tqdm
• mujoco-py>=1.50.1.0

Start Training:

# To train an agent for HalfCheetah-v2 game
python train.py

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