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
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆188Updated 4 months ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆95Updated 5 months ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆21Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆162Updated 3 months ago
• openrlbenchmark / openrlbenchmark
  ☆237Updated 10 months ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆148Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆184Updated 6 months ago
• JesseFarebro / distributional-sr
  Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
  ☆22Updated 10 months ago
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆78Updated 8 months ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆155Updated 9 months ago
• SonyResearch / simba
  ☆105Updated 7 months ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆148Updated 2 years ago
• proroklab / popgym
  Partially Observable Process Gym
  ☆200Updated 3 months ago
• fuyw / RepL4RL
  Representation Learning for RL
  ☆125Updated 2 years ago
• abaisero / gym-gridverse
  Gridworld domains in the gym interface
  ☆29Updated 11 months ago
• MichaelTMatthews / Craftax_Baselines
  ☆18Updated 4 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆80Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆107Updated 2 years ago
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆30Updated 11 months ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆131Updated 3 years ago
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆36Updated 3 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆108Updated last year
• nico-bohlinger / RL-X
  A framework for Reinforcement Learning research.
  ☆160Updated last month
• jurgisp / pydreamer
  PyTorch implementation of DreamerV2 model-based RL algorithm
  ☆227Updated 2 years ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆246Updated 2 months ago
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆221Updated last year
• keraJLi / rejax
  Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
  ☆236Updated 4 months ago
• EdanToledo / Stoix
  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
  ☆350Updated last week
• ikostrikov / implicit_q_learning
  ☆284Updated 3 years ago