jcwleo / random-network-distillation-pytorch
Random Network Distillation pytorch
☆243Updated 5 years ago
Alternatives and similar repositories for random-network-distillation-pytorch:
Users that are interested in random-network-distillation-pytorch are comparing it to the libraries listed below
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- ☆191Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆102Updated 5 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 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
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆174Updated 7 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆209Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆167Updated 6 months ago
- Keeping track of RL experiments☆159Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆237Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 5 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated last week
- ICML 2018 Self-Imitation Learning☆274Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆479Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆259Updated last year
- Actor-critic with experience replay☆251Updated 2 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 3 months ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆188Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆146Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆435Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆207Updated 5 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆210Updated 8 months ago
- ☆267Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆217Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago