Alternatives and similar repositories for deep_rl

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

• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 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
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆25Updated 2 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 10 months ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 5 months ago
• martius-lab / pink-noise-rl
  ☆47Updated last month
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• qgallouedec / lge
  ☆32Updated last year
• ikostrikov / jaxrl2
  ☆52Updated 2 years 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
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated this week
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆123Updated 3 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆68Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated last year
• tseyde / decqn
  ☆35Updated 3 years ago
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆78Updated 3 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"
  ☆103Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• RyanNavillus / reward-surfaces
  ☆18Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• albertwilcox / mcac
  Author implementation of Monte Carlo Augmented Actor Critic in PyTorch
  ☆18Updated 3 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆41Updated 10 months ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆83Updated 3 years ago
• rraileanu / idaac
  ☆54Updated last year
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆69Updated 3 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆108Updated last year