microsoft / FQFLinks
FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for Atari games, which can learn to play Atari games automatically by predicting return distribution in the form of a fully parameterized quantile function.
☆44Updated 4 years ago
Alternatives and similar repositories for FQF
Users that are interested in FQF are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 2 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆32Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆92Updated 10 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- Revisiting Rainbow☆75Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- ☆47Updated 4 years ago
- ☆76Updated last year
- Soft Actor-Critic☆147Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- ☆196Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 4 months ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 2 months ago
- ☆83Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆46Updated 4 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated last month
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- ☆91Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago