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trust-region-policy-optimization

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TianhongDai / reinforcement-learning-algorithms

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This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic
  • Updated Jan 16, 2021
  • Python

Akella17 / Deep-Bayesian-Quadrature-Policy-Optimization

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Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

reinforcement-learning deep-learning monte-carlo deep-reinforcement-learning pytorch policy-gradient gaussian-processes continuous-control actor-critic mujoco trust-region-policy-optimization advantage-actor-critic roboschool probablistic-numerics bayesian-quadrature natural-policy-gradient
  • Updated Feb 17, 2021
  • Python

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