dongminlee94 / Reinforcement-Learning-CodeLinks
A repository for code of reinforcement learning algorithms with PyTorch
☆30Updated 4 years ago
Alternatives and similar repositories for Reinforcement-Learning-Code
Users that are interested in Reinforcement-Learning-Code are comparing it to the libraries listed below
Sorting:
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 10 months ago
- ☆86Updated 4 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 3 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 7 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Adaptive Attention Span for Reinforcement Learning☆136Updated 5 years ago
- Reinforcement Learning Methods with PyTorch☆38Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆106Updated 3 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆146Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 7 months ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Updated 6 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆130Updated 4 years ago
- ☆62Updated 7 years ago
- ☆69Updated 7 years ago