Benchmarking Deep Reinforcement Learning for Continuous Control — mentioned by phonebucket

Tue, 24 Jan 2023 15:29:18 GMT

A lot depends on what you're interested in. Some papers that are runnable on a laptop CPU (so long as you stick to small image sizes/tasks): 1) Generative Adversarial Networks (https://arxiv.org/abs/1406.2661). Good practice to have a custom training loops, different optimisers and networks etc. 2) Neural Style Transfer (https://arxiv.org/abs/1508.06576). Nice to be able to manipulate pretrained networks and intercept intermediate layers. 3) Deep Image Prior (https://arxiv.org/abs/1711.10925). Nice low-data exercise in building out an autoencoder. 4) Physics Informed Neural Networks…

Paper and discussion history. A mention is not an endorsement.

Benchmarking Deep Reinforcement Learning for Continuous Control · HackerPapers discussions

Benchmarking Deep Reinforcement Learning for Continuous Control — mentioned by phonebucket