WebSep 1, 2024 · Acrobot-v1. This repo trains a policy in the Acrobot-v1 environment using a minimal implementation of the REINFORCE algorithm. Environment Description. State Space: 6 continuous values. Shape = … WebApr 21, 2024 · This project uses policy gradients with actor/critic networks and parallel environments to solve OpenAI Gym's Acrobot-v1 environment. As of September 20, 2016, the final learned model placed 3rd on the OpenAI Gym Acrobot-v1 leaderboard, with a score of -80.69 ± 1.06 ...
GitHub - Vrroom/IRL: Algorithms for Inverse Reinforcement Learning
WebThese environments all involve toy games based around physics control, using box2d based physics and PyGame based rendering. These environments were contributed back in the early days of Gym by Oleg … Web- The goal of the project was to work with value function approximation algorithms, to explore OpenAI Gym environments. ... CartPole-v1, Acrobot-v1, Atari Breakout - The report (Report.pdf ... call dji uk
Acrobot Simulation Performance Leaderboard
WebFeb 25, 2024 · How to list all currently registered environment IDs (as they are used for creating environments) in openai gym? A bit context: there are many plugins installed … WebACROBOT 6-DOF Robot Arm, with its high technology joint actuators, is a hands-on experiment, closing the gap between real industrial systems and DIY- approach. Users … WebWe use the following control tasks from OpenAI gym for experiments [47]: Acrobot [49], Cartpole [50], Lunar Lander [47] and BeamRider [51]. For each task, we use pre-trained RL agents from RL Baselines Zoo [52] and Stable OpenAI Baselines [53] to obtain expert policies. We provide in calle ajenjo