harvard-edge / QuaRLLinks
QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.
☆72Updated 2 years ago
Alternatives and similar repositories for QuaRL
Users that are interested in QuaRL are comparing it to the libraries listed below
Sorting:
- Revisiting Rainbow☆75Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆39Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆127Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 5 months ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆74Updated 5 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- MultiTask Environments for Reinforcement Learning.☆77Updated 3 years ago
- ☆40Updated 3 years ago
- Multi Task RL Baselines☆249Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆33Updated 4 years ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆50Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 3 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆36Updated 3 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆44Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- A set of competitive environments for Reinforcement Learning research.☆29Updated 2 years ago
- ☆71Updated 2 years ago