dppo

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强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

reinforcement-learning tensorflow lstm dqn rl rnd a3c per ddqn distributed-tensorflow ppo dppo random-network-distillation dueling-ddqn n-step rnd-ppo n-step-target n-step-return

Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)

impala pytorch distributed apex a3c ray dppo ape-x distributedrl

self implementation of DPPO, Distributed Proximal Policy Optimization, by using tensorflow

tensorflow openai tensorflow-dppo dppo

Quantum imaginary time evolution steered by reinforcement learning

reinforcement-learning pytorch quantum-computing gym dppo

ScaleRL is a simple and scalable distributed reinforcement learning framework based on Python and PyTorch

distributed-systems impala parallel-computing a3c dppo seed-rl

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