Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
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Updated
Jan 12, 2019 - Python
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
Pytorch based library containing reinforcement learning agents with forward models and intrinsic motivation modules
Implementations for RL agents that seek to learn about their environment by predicting multiple signals from a single stream of experience.
Implemented DQN with Intrinsic Curiosity Module for a VizDoom competition at nate.
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