wizdom13 / RND-PytorchLinks
Random Network Distillation(RND) algo in Pytorch
☆51Updated 6 years ago
Alternatives and similar repositories for RND-Pytorch
Users that are interested in RND-Pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated 2 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 5 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- ☆62Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Updated 7 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- ☆113Updated 6 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- ☆85Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- ☆28Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago