Alternatives and similar repositories for rlss23-dqn-tutorial

Users that are interested in rlss23-dqn-tutorial are comparing it to the libraries listed below

• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆57Updated 2 years ago
• alirezakazemipour / DDPG-HER
  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
  ☆100Updated 5 months ago
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆84Updated last year
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• BY571 / IQN-and-Extensions
  PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…
  ☆88Updated 2 years ago
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆105Updated 3 years ago
• RedTachyon / coltra-rl
  A modular implementation of PPO, and soon hopefully other algorithms.
  ☆26Updated last year
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆75Updated last year
• nico-bohlinger / RL-X
  A framework for Reinforcement Learning research.
  ☆163Updated 2 months ago
• Matt00n / PolicyGradientsJax
  On-Policy Policy Gradient Algorithms in JAX
  ☆40Updated last year
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆38Updated 7 months ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆44Updated last week
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• ChienFeng-hub / meow
  [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
  ☆38Updated 11 months ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• daisatojp / mpo
  PyTorch Implementation of the Maximum a Posteriori Policy Optimisation
  ☆76Updated 2 years ago
• ingambe / RayEnvWrapper
  OpenAi's gym environment wrapper to vectorize them with Ray
  ☆23Updated 2 years ago
• jakegrigsby / super_sac
  A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…
  ☆39Updated last year
• DLR-RM / rl-trained-agents
  A collection of pre-trained RL agents using Stable Baselines3
  ☆138Updated 11 months ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 3 months ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆67Updated last year
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 4 years ago
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆55Updated 2 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆40Updated 3 years ago
• HumanCompatibleAI / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆31Updated 4 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆97Updated 2 years ago
• CherryPieSexy / imitation_learning
  PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
  ☆148Updated 3 years ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆116Updated last year