RND (Random Network Distillation) with Proximal Policy Optimization (PPO) Tensorflow
This post documents my implementation of the Random Network Distillation (RND) with Proximal Policy Optimization (PPO) algorithm. (continuous version)
Every little gist
This site contains information/documentation for my codes in my Github
repositories & my notes from self-learning various topics.
Mainly contains stuff related to
machine learning,
market microstructure,
CI/CD web development
& stuff with not so trivial details that I will most probably forget
over time.
Checkout my Github.
Recent posts
DPPO distributed tensorflow
This post documents my implementation of the Distributed Proximal Policy Optimization (Distributed PPO or DPPO) algorithm. (Distributed continuous version)
A3C distributed tensorflow
This post documents my implementation of the A3C (Asynchronous Advantage Actor Critic) algorithm (Distributed discrete version).
A3C multi-threaded continuous version with N step targets
This post documents my implementation of the A3C (Asynchronous Advantage Actor Critic) algorithm. (multi-threaded continuous version)
A3C multi-threaded discrete version with N step targets
This post documents my implementation of the A3C (Asynchronous Advantage Actor Critic) algorithm (discrete). (multi-threaded discrete version)
Accumulate gradients with Tensorflow
This post demonstrates how to accumulate gradients with Tensorflow.
Distributed Tensorflow
This post demonstrates a simple usage example of distributed Tensorflow with Python multiprocessing package.
N-step targets
This post documents my implementation of the N-step Q-values estimation algorithm.
Python’s multiprocessing package
This post demonstrates how to use the Python’s multiprocessing package to achieve parallel data generation.
Numpy array manipulation
This post provides a simple usage examples for common Numpy array manipulation.