GitHub topics: n-step-bootstrapping
makaveli10/reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
Language: Jupyter Notebook - Size: 6.84 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 24 - Forks: 4
nslyubaykin/relax_rainbow_dqn_example
Example Rainbow DQN implementation with ReLAx
Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
nslyubaykin/relax
ReLAx - Reinforcement Learning Applications Library
Language: Python - Size: 263 KB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 1
nslyubaykin/nstep_td3
Multistep TD3 for locomotion
Language: Jupyter Notebook - Size: 42.3 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
BY571/IQN-and-Extensions
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.
Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 70 - Forks: 14
BY571/Normalized-Advantage-Function-NAF-
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 13
egrund/SARSA-gridworld
This is an implementation of n-step SARSA and a gridworld to be solved by it.
Language: Python - Size: 429 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
ZikangZhou/nim_rl
A reinforcement learning framework for the game of Nim.
Language: C++ - Size: 11.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0
