Presentation on End-to-End Training of Deep Visuomotor Policies
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Updated
Apr 22, 2015 - HTML
Presentation on End-to-End Training of Deep Visuomotor Policies
Presentation on Human-Level Control Through Deep Reinforcement Learning
Playing Mario with Deep Reinforcement Learning
Deep reinforcement learning package for torch7
Keras implementation of DQN on ViZDoom environment
Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
RL Agents for various OpenAI Gym environments
Using deep reinforcement learning to play flappy bird. Implemented by TensorFlow.
Tensorflow implementation of asyncronous 1-step Q learning in "Asynchronous Methods for Deep Reinforcement Learning" with improvement on weight update process (use minibatch) to speed up training.
Python Q learning implementations and application examples in wireless networks
Game of Last One
Deep Reinforcement Learning
Deep reinforcement learning agents for OpenAI universe environments
Hierarchical Deep RL Network
Assignments for some online courses
Multimodal Deep Q-Network (MDQN) for modelling human-like social intelligence.
TensorFlow implementation of Deep Reinforcement Learning papers
Try to implement strong RL-agent
Repository hosting my solutions to OpenAI's Gym environments
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