environments for reinforcement learning based on panda-gym
-
Updated
Aug 22, 2022 - Python
#
panda-gym
Here are 4 public repositories matching this topic...
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.
reinforcement-learning
pytorch
ddpg
inverse-reinforcement-learning
apprenticeship-learning
td3
panda-gym
-
Updated
Apr 24, 2024 - Jupyter Notebook
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:
deep-reinforcement-learning
dqn
gym
policy-gradient
atari
ddpg
multiagent-reinforcement-learning
ppo
a2c
unity-ml-agents
optuna
stable-baselines3
panda-gym
rl-zoo3
ddpgfd
-
Updated
Aug 1, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the panda-gym topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the panda-gym topic, visit your repo's landing page and select "manage topics."