Alternatives and similar repositories for DRL_paper_summary

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

• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆191Updated 2 years ago
• bennylp / RL-Taxonomy
  Loose taxonomy of reinforcement learning algorithms
  ☆184Updated 5 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆94Updated 4 years ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆209Updated last year
• spitis / mrl
  ☆114Updated 2 years ago
• berkeleydeeprlcourse / homework_fall2021
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
  ☆145Updated 3 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆141Updated 4 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• ray-project / rl-experiments
  Keeping track of RL experiments
  ☆163Updated 2 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆117Updated 2 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆72Updated 3 years ago
• facebookresearch / mtrl
  Multi Task RL Baselines
  ☆249Updated 3 years ago
• implementation-matters / code-for-paper
  ☆112Updated 5 years ago
• createamind / DRL
  ☆91Updated 4 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆150Updated 4 years ago
• kzl / lifelong_rl
  Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…
  ☆109Updated 3 years ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆75Updated last year
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆221Updated last year
• RchalYang / torchrl
  Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
  ☆226Updated 3 years ago
• ezliu / dream
  Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
  ☆90Updated 2 years ago
• google-research / dads
  Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…
  ☆191Updated 3 years ago
• MadryLab / implementation-matters
  ☆133Updated last year
• florensacc / rllab-curriculum
  ☆138Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆152Updated 2 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆39Updated 2 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 4 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago