eleurent / rl-agentsLinks
Implementations of Reinforcement Learning and Planning algorithms
☆706Updated last year
Alternatives and similar repositories for rl-agents
Users that are interested in rl-agents are comparing it to the libraries listed below
Sorting:
- Scalable Multi-Agent RL Training School for Autonomous Driving☆1,102Updated 11 months ago
- An OpenAI gym wrapper for CARLA simulator☆602Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated 2 years ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆374Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆452Updated 2 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆657Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,057Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆729Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆739Updated 3 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆308Updated last year
- MARL for Autonomous Vehicles☆334Updated last year
- Tools for accelerating safe exploration research.☆574Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆626Updated last year
- A minimalist environment for decision-making in autonomous driving☆3,137Updated 2 months ago
- Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTo…☆395Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆545Updated 2 years ago
- References on Optimal Control, Reinforcement Learning and Motion Planning☆974Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,389Updated 2 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆508Updated 2 months ago
- multi-agent deep reinforcement learning for networked system control.☆434Updated 5 years ago
- Mean Field Multi-Agent Reinforcement Learning☆414Updated 5 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- The repository is for safe reinforcement learning baselines.☆748Updated 2 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experime…☆258Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆404Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆667Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆614Updated 8 years ago
- Soft Actor-Critic☆1,196Updated 2 years ago
- Reinforcement Learning codebase for self-driving car in Carla☆406Updated 5 years ago