Implemented DQN with Intrinsic Curiosity Module for a VizDoom competition at nate.
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Updated
Nov 22, 2022 - Python
Implemented DQN with Intrinsic Curiosity Module for a VizDoom competition at nate.
Implementations for RL agents that seek to learn about their environment by predicting multiple signals from a single stream of experience.
Pytorch based library containing reinforcement learning agents with forward models and intrinsic motivation modules
A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and more by implementing advanced DRL concepts like decision transformers, RND, MARL, A3C, ICM & sample_factory. To see my other rl agents please visit
Master's thesis on model-based intrinsically motivated reinforcement learning in robotic control
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
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