environments for reinforcement learning based on panda-gym
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Updated
Aug 22, 2022 - Python
environments for reinforcement learning based on panda-gym
A collection of my implemented RL agents for games like Pacman, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo and pandagym libraries. To see more advanced & interesting agents, please visit below link:
This repository contains implementations of the DDPG and TD3 algorithms along with HER to train the PandaReach-v3 agent and then use the projection-based inverse reinforcement learning algorithm to train apprentice agents using the trained agent as the expert.
Multi-task reinforcement learning framework for agents to perform goal-conditioned tasks using end-effector control with Franka Emika Arm
This project explores the application of Deep Reinforcement Learning (DRL) algorithms to robotic control tasks using the PandaGym simulation environment, which models the Franka Emika Panda robotic arm
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