【5分钟 Paper】(TD3) Addressing Function Approximation Error in Actor-Critic Methods
论文题目：Addressing Function Approximation Error in Actor-Critic Methods 所解决的问题？ value-base的强化学习值函数的近似估计会过估计值函数(DQN)，作者将Double Q-Learning处理过拟合的思想引入actor critic算法中。(过估计的问题就在于累计误差会使得某些不好的state的value变地很高(e
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相关文章
- 1. 【5分钟 Paper】Asynchronous Methods for Deep Reinforcement Learning
- 2. 【5分钟 Paper】Deterministic Policy Gradient Algorithms
- 3. Reinforcement Learning: value function approximation
- 4. Value function approximation
- 5. 【5分钟 Paper】Continuous Control With Deep Reinforcement Learning
- 6. 【5分钟 Paper】Dueling Network Architectures for Deep Reinforcement Learning
- 7. [Reinforcement Learning] Value Function Approximation
- 8. 【5分钟 Paper】Playing Atari with Deep Reinforcement Learning
- 9. 强化学习笔记（5）价值估计函数Value Function Approximation
- 10. 【5分钟 Paper】Deep Reinforcement Learning with Double Q-learning