Alternatives and similar repositories for DeepRL:

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

• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆71Updated 3 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆116Updated 2 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆188Updated 2 years ago
• GRAAL-Research / OfflineRLReadingGroup
  Offline Reinforcement Learning Reading Group
  ☆27Updated 2 years ago
• kzl / lifelong_rl
  Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…
  ☆104Updated 3 years ago
• spitis / mrl
  ☆112Updated last year
• RPC2 / DRL_paper_summary
  Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.
  ☆79Updated 4 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated last year
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• zhixuan-lin / cs285-fall-2019
  My solutions to CS285 2019 Fall of UC Berkeley
  ☆14Updated 2 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆89Updated 8 months ago
• yusukeurakami / dreamer-pytorch
  pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
  ☆168Updated 3 months ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆137Updated 2 years ago
• siekmanj / r2l
  Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
  ☆51Updated 3 years ago
• berkeleydeeprlcourse / homework_fall2021
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
  ☆146Updated 2 years ago
• mdeib / berkeley-deep-RL-pytorch-solutions
  Pytorch solutions for UC Berkeley's cs285 assignments
  ☆137Updated 3 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated last year
• Farama-Foundation / D4RL-Evaluations
  ☆194Updated 2 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated last month
• mila-iqia / spr
  Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"
  ☆160Updated 3 years ago
• facebookresearch / deep_bisim4control
  Learning Invariant Representations for Reinforcement Learning without Reconstruction
  ☆147Updated 3 years ago
• rraileanu / idaac
  ☆53Updated last year
• implementation-matters / code-for-paper
  ☆109Updated 5 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• hermesdt / reinforcement-learning
  ☆39Updated 4 years ago
• WilsonWangTHU / POPLIN
  ☆98Updated 2 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆150Updated 4 years ago
• KamyarGh / rl_swiss
  ☆66Updated 4 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆38Updated 2 years ago