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
• martius-lab / pink-noise-rl
  ☆48Updated 2 months ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 6 months ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆25Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆24Updated last year
• ikostrikov / jaxrl2
  ☆52Updated 3 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated last month
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆104Updated 3 years ago
• RyanNavillus / reward-surfaces
  ☆18Updated last year
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆109Updated last year
• max7born / decision-lstm
  Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…
  ☆28Updated 2 years ago
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated last year
• tseyde / decqn
  ☆35Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 11 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆87Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆95Updated 2 years ago
• steventango / jumpstart-rl
  Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
  ☆37Updated 2 years ago
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• ucla-rlcourse / competitive-rl
  A set of competitive environments for Reinforcement Learning research.
  ☆29Updated 3 years ago
• StoneT2000 / robojax
  A high-performance reinforcement learning library in jax specialized for robotic learning
  ☆22Updated 2 years ago
• Lifelong-ML / offline-compositional-rl-datasets
  ☆20Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆117Updated last year
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆67Updated 2 years ago