Alternatives and similar repositories for deep_rl:

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

• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 9 months ago
• tseyde / decqn
  ☆36Updated 2 years ago
• martius-lab / pink-noise-rl
  ☆42Updated 2 years ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆31Updated 5 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆70Updated 10 months ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆37Updated last year
• 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
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆40Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 2 years ago
• RyanNavillus / reward-surfaces
  ☆16Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆37Updated 2 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• Lifelong-ML / offline-compositional-rl-datasets
  ☆17Updated last year
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆47Updated last year
• RedTachyon / coltra-rl
  A modular implementation of PPO, and soon hopefully other algorithms.
  ☆26Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆23Updated last year
• danijar / embodied
  Fast reinforcement learning research
  ☆59Updated 4 months ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆40Updated 4 years ago
• frankroeder / lanro-gym
  OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning
  ☆13Updated last month
• OffDynamicsRL / off-dynamics-rl
  ☆43Updated 5 months ago
• Egiob / DiversityIsAllYouNeed-SB3
  Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.
  ☆12Updated 2 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆33Updated 2 years ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆50Updated 2 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago