policy-adaptation-during-deployment
dmc2gymnasium
| policy-adaptation-during-deployment | dmc2gymnasium | |
|---|---|---|
| 1 | 1 | |
| 109 | 4 | |
| - | - | |
| 1.8 | 3.4 | |
| over 3 years ago | 18 days ago | |
| Python | Python | |
| - | MIT License |
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policy-adaptation-during-deployment
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Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards
Code: https://github.com/nicklashansen/policy-adaptation-during-deployment
dmc2gymnasium
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DM Control Suite vs. Original Environments
I'm actually working on a DMC to gymnasium wrapper right now that you might find useful https://github.com/imgeorgiev/dmc2gymnasium
What are some alternatives?
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
gym-simplegrid - Simple Gridworld Gymnasium Environment
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Gym-Trading-Env - A simple, easy, customizable Gymnasium environment for trading.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
football - Check out the new game server:
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pysc2 - StarCraft II Learning Environment
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
es_pytorch - High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.