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[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

Home Page: http://people.csail.mit.edu/jiex/papers/PGMORL/

License: MIT License

Python 41.85% Dockerfile 0.02% HTML 28.71% Jupyter Notebook 29.41%
reinforcement-learning multi-objective evolutionary-algorithms

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pgmorl's Issues

Too few candidates

When I run the algorithm for my environment, I get the message, 'too few candidates.' How can I solve this issue?

stable-baselines in pytorch-a2c-ppo-acktr-gail

I found that pytorch-a2c-ppo-acktr-gail uses stable-baselines. But the code here is replaced by the baselines of Open AI.

What is the advantage of replacing stable-baselines with baselines?

args.obj_num

args.obj_num is used in morl.py. However, --obj-num is not defined in the args_list. How does the program understand this arg?

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