Alternatives and similar repositories for decqn

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

• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated last week
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• ikostrikov / jaxrl2
  ☆52Updated 3 years ago
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 6 months ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆25Updated 2 years ago
• perrin-isir / xpag
  a modular reinforcement learning library with JAX agents
  ☆27Updated 10 months ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• tdmpc2 / tdmpc2-eval
  Evaluation of TD-MPC2.
  ☆21Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆81Updated last year
• RedTachyon / coltra-rl
  A modular implementation of PPO, and soon hopefully other algorithms.
  ☆26Updated 2 years ago
• boschresearch / ube-mbrl
  Model-Based Uncertainty in Value Functions (AISTATS2023)
  ☆16Updated 2 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• ademiadeniji / irm
  Intrinsic Reward Matching (IRM) implementation (from Adeniji and Xie et al 2022)
  ☆42Updated 2 years ago
• RyanNavillus / reward-surfaces
  ☆18Updated last year
• StoneT2000 / robojax
  A high-performance reinforcement learning library in jax specialized for robotic learning
  ☆22Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆48Updated 2 months ago
• clvrai / coordination
  Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
  ☆49Updated 3 years ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆83Updated 3 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆34Updated 5 years ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• kevinzakka / dm_env_wrappers
  Standalone library of frequently-used wrappers for dm_env environments.
  ☆18Updated last year
• dsbrown1331 / CoRL2019-DREX
  Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…
  ☆51Updated 3 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆84Updated last year