n-step-return

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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

Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)

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