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Implementation of algorithms for continuous control (DDPG and NAF).
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
Deep Reinforcement Learning with pytorch & visdom
The main features of jingweiz/pytorch-rl are: Model Implementations, Reinforcement Learning, Deep Reinforcement Learning.
Projects with overlapping indexed features include: mjacar/pytorch-trpo. pemami4911/neural-combinatorial-rl-pytorch — PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940. ikostrikov/pytorch-naf — Implementation of algorithms for continuous control (DDPG and NAF). alexis-jacq/pytorch-dppo. catalyst-team/catalyst-rl — Accelerated RL. facebookresearch/translagent — Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent…