Evolution strategies as a scalable alternative to reinforcement learning

OpenAI Blog · 9 years ago

Evolution strategies match the performance of standard reinforcement learning algorithms on benchmark tasks like Atari and MuJoCo environments. The technique achieves this performance while requiring less fine-tuning and being more straightforward to parallelize across distributed systems. This finding suggests evolution strategies could serve as a practical alternative to reinforcement learning for certain optimization problems.