Alternatives and similar repositories for torchingup

Users that are interested in torchingup are comparing it to the libraries listed below

• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆154Updated 3 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆208Updated 4 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆206Updated 3 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆88Updated 6 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆72Updated 3 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆151Updated 4 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆164Updated 2 years ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆129Updated 4 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆103Updated 2 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 4 years ago
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆145Updated 2 years ago
• chandar-lab / RLHive
  ☆101Updated last year
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆91Updated 6 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• google-research / deep_ope
  ☆89Updated last year
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆143Updated 4 years ago
• rlberry-py / rlberry
  An easy-to-use reinforcement learning library for research and education.
  ☆174Updated this week
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆137Updated 3 months ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 4 years ago
• hiwonjoon / ICML2019-TREX
  ☆85Updated 4 years ago
• microsoft / oac-explore
  Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
  ☆69Updated 2 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 6 years ago
• flowersteam / teachDeepRL
  ☆89Updated 4 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• bennylp / RL-Taxonomy
  Loose taxonomy of reinforcement learning algorithms
  ☆187Updated 5 years ago
• implementation-matters / code-for-paper
  ☆113Updated 6 years ago