CapAI / ship-sim-gymLinks
Simple top-down low-performance Open AI gym wrapper of a ship simulator with training scripts for Rllib and stable-baselines
☆20Updated 2 years ago
Alternatives and similar repositories for ship-sim-gym
Users that are interested in ship-sim-gym are comparing it to the libraries listed below
Sorting:
- Ship simulafor in openai gym style☆40Updated 6 years ago
- ShipAI simplified to medium tutorial☆16Updated 6 years ago
- Carla-Simulator environment compatible with Ray/Rllib☆37Updated 5 years ago
- Python Version of F-16 Maneuver Verification Benchmark☆116Updated last month
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago
- Gym environments and agents for autonomous driving.☆96Updated last year
- Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.☆56Updated 2 months ago
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆81Updated 4 years ago
- Inverse Reinforcement Learning Argorithms☆54Updated 6 years ago
- A new Reinforcement Learning Environment☆34Updated 3 years ago
- Efficient Large-Scale Multi-Drone Delivery Using Transit Networks☆83Updated last year
- ☆94Updated 2 years ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 6 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆114Updated 2 years ago
- A 2D Particle Survival Environment for Deep Reinforcement Learning☆25Updated 5 years ago
- Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework☆11Updated 4 years ago
- The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.☆124Updated 11 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Multi-Agent DRiving Simulator☆91Updated 4 years ago
- A PyTorch-based deep inverse reinforcement learning pipeline for vehicle motion forecasting☆82Updated 6 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆362Updated 2 years ago
- Implementation of Linear Inverse Reinforcement Learning Algorithm (IRL) on Mountain Car Environment.☆31Updated 5 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆145Updated 3 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆54Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆418Updated 4 years ago
- A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model☆54Updated 9 months ago