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multi-step-dqn

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BY571 / DQN-Atari-Agents

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DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

multiprocessing parallel-computing deep-reinforcement-learning rainbow multi-environment openai reinforcement-learning-algorithms atari c51 reinforcement-learning-agent drqn prioritized-experience-replay dqn-pytorch multi-step-dqn ddqn-pyotrch dueling-dqn-pytorch noisy-dqn n-step-dqn
  • Updated Dec 18, 2020
  • Jupyter Notebook

jhu-lcsr / good_robot

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"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

reinforcement-learning computer-vision deep-learning robotics simulation deep-reinforcement-learning manipulation grasping deep-q-network learning-from-demonstration zero-shot-learning vrep-simulator robotic-manipulation multi-step-learning multi-step-dqn task-to-task-transfer
  • Updated Mar 25, 2022
  • Jupyter Notebook

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