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drl_implementation's Introduction

DRL_Implementation

  • This repository will be filled with codes reproducing some DRL algos I'm interested in.
  • Most algorithms remain untested because my PC is occupied by my current research experiments.
  • Language: Python-3.6
  • Main library: PyTorch-1.3.0, Mujoco-py-2.0.2.8, Gym-0.15.3

Current status: under development

Algorithms: Flat

  • DQN - Deterministic, Discrete (LSTM network for Atari)
  • DDPG - Deterministic, Continuous
  • PPO - Stochastic, Continuous
  • TD3 -Deterministic, Discrete
  • SAC (Adaptive Temperature) - Stochastic, Continuous

Algorithms: Distributed

  • D4PG - Deterministic, Continuous
  • R2D2 - Deterministic, Discrete

Algorithms: Hierarchical

  • Option DQN - Hindsight, Deterministic, Discrete
  • Option Critic - Hindsight, Stochastic, Discrete & Continuous
  • HIRO - Hindsight, Deterministic, Continuous
  • HAC - Hindsight, Deterministic, Continuous

Replay buffers

  • Hindsight
  • Prioritised

Environments

  • GridWorld_MultiRoomKeyDoor (Discrete, Multi-goal, Customized)
  • OpenAI Gym Mujoco Robotics Multigoal Environment (Continuous, Official)
  • Pybullet Multigoal Gym (OpenAI Robotics Multigoal Pybullet Migration) (Continuous, Official)
  • OpenAI Gym Mujoco Robotic Multi-goal/task/stage Environment (Continuous, Customized)

Some result figures

Reference Papers: Algorithm

Reference Papers: Implementation Matters

Reference Repos

drl_implementation's People

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