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
  ☆152Updated 3 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆89Updated 4 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated last year
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆206Updated 4 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 …
  ☆165Updated 2 years ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆205Updated 2 years ago
• chandar-lab / RLHive
  ☆101Updated last year
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆103Updated 3 years ago
• ucl-dark / paired
  PAIRED in PyTorch 🔥
  ☆63Updated 2 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 4 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated last year
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆150Updated 4 years ago
• montrealrobotics / DeepRLInTheWorld
  From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
  ☆253Updated last year
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• bennylp / RL-Taxonomy
  Loose taxonomy of reinforcement learning algorithms
  ☆184Updated 5 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆141Updated 4 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆192Updated 2 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆127Updated 4 years ago
• podondra / gym-gridworlds
  Gridworld environments for OpenAI gym.
  ☆79Updated last year
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆103Updated 3 years ago
• google-research / realworldrl_suite
  Real-World RL Benchmark Suite
  ☆355Updated 5 years ago
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆205Updated 4 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆72Updated 3 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆39Updated 2 years ago
• ml-jku / rudder
  RUDDER: Return Decomposition for Delayed Rewards
  ☆48Updated 4 years ago