Alternatives and similar repositories for awesome-plasticity-loss

Users that are interested in awesome-plasticity-loss are comparing it to the libraries listed below

• MichalBortkiewicz / JaxGCRL
  Goal-Conditioned Reinforcement Learning with JAX
  ☆162Updated 3 weeks ago
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆156Updated 2 months ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆80Updated last month
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆142Updated last year
• TTomilin / COOM
  COOM: Benchmarking Continual Reinforcement Learning on Doom
  ☆18Updated 3 months ago
• abaisero / gym-gridverse
  Gridworld domains in the gym interface
  ☆28Updated 8 months ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆45Updated 2 years ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆21Updated 6 months ago
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆77Updated 4 months ago
• SonyResearch / simba
  ☆92Updated 3 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆74Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆145Updated 5 months ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆167Updated 2 months ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• MichaelTMatthews / Craftax_Baselines
  ☆19Updated 3 weeks ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆102Updated 2 years ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated 11 months ago
• kc-ml2 / SimpleDreamer
  A Simplified Pytorch Version of the Dreamer Algorithm
  ☆127Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆144Updated last year
• DramaCow / jaxued
  ☆79Updated 2 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆28Updated 7 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆174Updated 2 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆101Updated last year
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 3 years ago
• ScottAlexanderCameron / Jynx
  A neural network library written in jax
  ☆11Updated 4 months ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆82Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago