justinjfu / inverse_rlLinks
☆273Updated 7 years ago
Alternatives and similar repositories for inverse_rl
Users that are interested in inverse_rl are comparing it to the libraries listed below
Sorting:
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆465Updated 2 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- ☆397Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆213Updated 6 years ago
- ☆92Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- ☆203Updated 2 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆301Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆648Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆162Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆513Updated 2 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆503Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆216Updated 2 years ago
- ☆138Updated 6 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- Constrained Policy Optimization☆332Updated 8 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago