深度强化学习炼丹炉

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📃Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

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  • 📝[COMA]Counterfactual Multi-Agent Policy Gradients
  • 📝[BicNet]Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat
  • 📝[CommNet]Learning Multiagent Communication with Backpropagation
  • 📝[MAPPO]The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
  • 📝[MADDPG]Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
  • ✏️多智能体强化学习中的值函数分解——VDN、QMIX、QTRAN
  • 📃[QTRAN]QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
  • 📝[QMIX]QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
  • 📝[VDN]Value-Decomposition Networks For Cooperative Multi-Agent Learning
  • 📃[IQL]Multiagent Cooperation and Competition with Deep Reinforcement Learning
  • 📝[SAC2]Soft Actor-Critic Algorithms and Applications
  • 📝[SAC]Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
  • 📝[PPO]Proximal Policy Optimization
  • 📝Trust Region Policy Optimization
  • 📝[A3C]Asynchronous Methods for Deep Reinforcement Learning
  • 📝[TD3]Addressing Function Approximation Error in Actor-Critic Methods
  • 📝[DDPG]CONTINUOUS CONTROL WITH DEEP REINFORCEMENT LEARNING
  • ✏️从 Policy Gradient 到 Actor-Critic
  • 📝[PG]Policy gradient methods for reinforcement learning with function approximation
  • 📝[DuelingDQN]Dueling Network Architectures for Deep Reinforcement Learning
  • 📃Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  • 📝[PER_DQN]Prioritized Experience Replay
  • 📝[DDQN]Deep Reinforcement Learning with Double Q-learning
  • 📃分层强化学习综述
  • 📃[DRQN]Deep Recurrent Q-Learning for Partially Observable MDPs
  • 📝[DQN2]Human-level control through deep reinforcement learning
  • 📝[DQN]Playing Atari with Deep Reinforcement Learning
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