PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
-
Updated
Nov 15, 2021 - Python
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC…
A deep reinforcement learning Bot for https://kana.byha.top:444/
Some (not so) naive RL agents for Rung
Master's degree thesis in Computer Science Engineering in collaboration with AIKO company
Collection of Reinforcement Learning models for training in the VizDoom and CartPole environments. Developed by Group 2 for the University of Bath's CM50270 module, exploring advanced strategies for models navigating complex situations.
Add a description, image, and links to the ppo-algo topic page so that developers can more easily learn about it.
To associate your repository with the ppo-algo topic, visit your repo's landing page and select "manage topics."