Coac / never-give-upLinks
PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies
☆58Updated 4 years ago
Alternatives and similar repositories for never-give-up
Users that are interested in never-give-up are comparing it to the libraries listed below
Sorting:
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆53Updated 5 months ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- ☆131Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- ☆202Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated 11 months ago
- Soft Actor-Critic☆156Updated 7 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 9 months ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated 2 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- Random Network Distillation pytorch☆254Updated 6 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆55Updated 6 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 4 months ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 3 years ago
- ☆54Updated last year
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆30Updated 5 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Adaptive Attention Span for Reinforcement Learning☆135Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago