eleurent / rl-agentsLinks
Implementations of Reinforcement Learning and Planning algorithms
☆678Updated 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☆1,056Updated 6 months ago
- An OpenAI gym wrapper for CARLA simulator☆591Updated 3 years ago
- Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for A…☆365Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆762Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆439Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆713Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆721Updated 3 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆291Updated last year
- MARL for Autonomous Vehicles☆311Updated 10 months ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆645Updated last year
- A minimalist environment for decision-making in autonomous driving☆2,988Updated last month
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- Mean Field Multi-Agent Reinforcement Learning☆401Updated 5 years ago
- Tools for accelerating safe exploration research.☆551Updated 2 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆610Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆349Updated 5 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆531Updated last year
- Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTo…☆385Updated 2 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,033Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆422Updated 4 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,243Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆622Updated 11 months ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆158Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,332Updated last year
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆486Updated 2 weeks ago
- A collection of reference environments for offline reinforcement learning☆1,561Updated 9 months ago
- Computational framework for reinforcement learning in traffic control☆1,142Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆761Updated 3 years ago
- Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.☆270Updated 5 years ago