Alternatives and similar repositories for rl-toolkit

Users that are interested in rl-toolkit are comparing it to the libraries listed below

• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆48Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 3 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆93Updated 5 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 4 years ago
• dsbrown1331 / CoRL2019-DREX
  Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…
  ☆51Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆42Updated 3 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• syuntoku14 / pytorch-rl-il
  A library for building reinforcement learning and imitation learning agents in Pytorch
  ☆60Updated 5 years ago
• PierreExeter / rl_reach
  RL Reach is a platform for running reproducible reinforcement learning experiments.
  ☆43Updated 2 months ago
• yuchen-x / MacroMARL
  ☆22Updated last year
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 3 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 2 months ago
• kairproject / kair_algorithms_draft
  Reinforcement learning algorithms for robot control tasks
  ☆27Updated last year
• jianing-sun / Interpolated-Policy-Gradient-with-PPO-for-Robotics-Control-
  Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…
  ☆38Updated 6 years ago
• tseyde / decqn
  ☆35Updated 2 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆66Updated 3 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• VincentYu68 / policy_transfer
  ☆30Updated 5 years ago
• RobertTLange / spinningup-workspace
  Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.
  ☆39Updated 2 years ago
• NotAnyMike / HRL
  Hierarchical Reinforcement Learning (batteries included)
  ☆46Updated 5 years ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• aravindsrinivas / neural-mpc
  ☆74Updated 5 years ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 7 years ago
• simon-larsson / ballbeam-gym
  Ball & beam OpenAI gym environments
  ☆15Updated 5 years ago
• liuzuxin / safe-mbrl
  Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
  ☆66Updated 2 years ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆89Updated last year
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• mcgillmrl / kusanagi
  Library for model based RL in robotics
  ☆37Updated 7 years ago
• martius-lab / pink-noise-rl
  ☆45Updated 2 years ago