Alternatives and similar repositories for GateL0RD

Users that are interested in GateL0RD are comparing it to the libraries listed below

• martius-lab / GateL0RD-paper
  Code for the paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
  ☆10Updated 4 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆161Updated 2 years ago
• ikostrikov / jaxrl2
  ☆52Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆54Updated 6 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆24Updated last year
• ALRhub / MTS3
  Implementation of Neurips 2023 Paper "Multi Time Scale World Models"
  ☆14Updated last year
• ahmed-touati / controllable_agent
  ☆54Updated 2 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆50Updated last year
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• facebookresearch / hsd3
  Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
  ☆49Updated 3 years ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆174Updated 2 months ago
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆26Updated 7 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 weeks ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆86Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆112Updated 3 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆27Updated 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"
  ☆103Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆58Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 3 years ago
• spitis / mrl
  ☆114Updated 2 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆59Updated 3 years ago
• astooke / accel_rl
  Accelerated Methods for Deep Reinforcement Learning
  ☆49Updated 6 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆57Updated 2 years ago
• nikaashpuri / sarfa-saliency
  ☆36Updated 3 years ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆226Updated last year
• martius-lab / cee-us
  Repository for the paper: "Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation" @ NeurIPS 2022
  ☆21Updated 2 years ago
• tseyde / decqn
  ☆35Updated 3 years ago
• pbecker93 / vrkn
  Code for "On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning" (TMLR, 2022)
  ☆19Updated 2 years ago