neka-nat / distributed_rlLinks
Pytorch implementation of distributed deep reinforcement learning
☆75Updated 3 years ago
Alternatives and similar repositories for distributed_rl
Users that are interested in distributed_rl are comparing it to the libraries listed below
Sorting:
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆191Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆183Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Soft Actor-Critic with advanced features☆51Updated this week
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆152Updated 4 years ago
- PyTorch IMPALA implementation☆27Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- ☆99Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 5 months ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆127Updated 4 years ago
- Random Network Distillation pytorch☆251Updated 6 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 7 months ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Multitask Environments for RL☆279Updated 4 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated 2 years ago
- FQF(Fully parameterized Quantile Function for distributional reinforcement learning) is a general reinforcement learning framework for At…☆44Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Soft Actor-Critic☆152Updated 7 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago