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☆55Updated 7 months ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- ☆84Updated 4 years ago
- Reinforcement Learning Methods with PyTorch☆38Updated 5 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 8 months ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Implementation of the Option-Critic Architecture☆41Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆39Updated 2 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago