eleurent / rl-agentsLinks
Implementations of Reinforcement Learning and Planning algorithms
☆669Updated 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☆1,046Updated 5 months 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
- An OpenAI gym wrapper for CARLA simulator☆589Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆757Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆705Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆717Updated 3 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆639Updated last year
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆335Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆533Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,030Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,316Updated last year
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆415Updated 3 years ago
- Tools for accelerating safe exploration research.☆547Updated 2 years ago
- Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTo…☆383Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- multi-agent deep reinforcement learning for networked system control.☆419Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆291Updated last year
- A PyTorch library for building deep reinforcement learning agents.☆648Updated last year
- MARL for Autonomous Vehicles☆302Updated 9 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- Imitation learning algorithms☆539Updated 3 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆157Updated 6 years ago
- References on Optimal Control, Reinforcement Learning and Motion Planning☆963Updated 3 years ago
- Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"☆505Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆551Updated 2 years ago