Alternatives and similar repositories for deep_rl

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

• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 3 months ago
• ikostrikov / jaxrl2
  ☆48Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• tseyde / decqn
  ☆35Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆116Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated 10 months ago
• martius-lab / pink-noise-rl
  ☆45Updated 2 years ago
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆67Updated last year
• qgallouedec / lge
  ☆31Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆74Updated 7 months ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆103Updated 11 months ago
• max7born / decision-lstm
  Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…
  ☆27Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆87Updated 2 years ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆101Updated 3 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆116Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆81Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 3 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago
• astooke / accel_rl
  Accelerated Methods for Deep Reinforcement Learning
  ☆49Updated 6 years ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago