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Title: GitHub - tensorflow/agents: TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Open Graph Title: GitHub - tensorflow/agents: TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

X Title: GitHub - tensorflow/agents: TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Description: TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning. - tensorflow/agents

Open Graph Description: TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning. - tensorflow/agents

X Description: TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning. - tensorflow/agents

Opengraph URL: https://github.com/tensorflow/agents

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DQN: Human level control through deep reinforcement learning Mnih et al., 2015https://deepmind.com/research/dqn/
DDQN: Deep Reinforcement Learning with Double Q-learning Hasselt et al., 2015https://arxiv.org/abs/1509.06461
DDPG: Continuous control with deep reinforcement learning Lillicrap et al., 2015https://arxiv.org/abs/1509.02971
TD3: Addressing Function Approximation Error in Actor-Critic Methods Fujimoto et al., 2018https://arxiv.org/abs/1802.09477
REINFORCE: Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning Williams, 1992https://www-anw.cs.umass.edu/~barto/courses/cs687/williams92simple.pdf
PPO: Proximal Policy Optimization Algorithms Schulman et al., 2017https://arxiv.org/abs/1707.06347
SAC: Soft Actor Critic Haarnoja et al., 2018https://arxiv.org/abs/1812.05905
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