reinforcement-learning-kr / lets-do-irlLinks
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
☆772Updated 2 years ago
Alternatives and similar repositories for lets-do-irl
Users that are interested in lets-do-irl are comparing it to the libraries listed below
Sorting:
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆663Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,064Updated 3 years ago
- PyTorch implementation of soft actor critic☆933Updated 6 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆359Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆586Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆530Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆335Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆733Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆656Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,401Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- A collection of multi agent environments based on OpenAI gym.☆629Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆678Updated 6 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆785Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆456Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆506Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆611Updated 8 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆334Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆441Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,330Updated 10 months ago
- Imitation learning algorithms☆559Updated 10 months ago
- Tools for accelerating safe exploration research.☆581Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆415Updated 5 years ago
- TensorFlow2 Reinforcement Learning☆476Updated 3 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆310Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆692Updated last month
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 4 years ago