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The main features of higgsfield/rl-adventure-2 are: Learning Resources, Model Implementations, Reinforcement Learning.
Projects with overlapping indexed features include: higgsfield/rl-adventure — Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/… floringogianu/categorical-dqn. alexis-jacq/pytorch-dppo. atgambardella/pytorch-es. facebookresearch/translagent — Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent… dsksd/deepnlp-models-pytorch — Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ).
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)