Alternatives and similar repositories for Differential_IG

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

• modanesh / recurrent_implicit_quantile_networks
  Implementation of the Recurrent Implicit Quantile Networks (RIQNs), used as a baseline in the OOD detection in the anomalous RL benchmark
  ☆14Updated 3 years ago
• modanesh / anomalous_rl_envs
  Anomalous versions of OpenAI Gym and PyBullet3 environments
  ☆14Updated 3 years ago
• nuwuxian / StateMask
  ☆14Updated last year
• ReedZyd / GenerativeReturnDecomposition
  Source code for Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach (NeurIPS 2023)
  ☆11Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆163Updated 3 months ago
• RodrigoToroIcarte / reward_machines
  ☆71Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆110Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆37Updated 2 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆131Updated 3 years ago
• proroklab / popgym
  Partially Observable Process Gym
  ☆201Updated 3 months ago
• k4ntz / OC_Atari
  Object Centric Atari games
  ☆90Updated last month
• abaisero / gym-gridverse
  Gridworld domains in the gym interface
  ☆29Updated last year
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆111Updated 5 months ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆116Updated 3 years ago
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆147Updated 2 years ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆107Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆87Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• SonyResearch / simba
  ☆108Updated 7 months ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• AlexLiuyuren / IFactor
  Open source code for paper "Learning World Models with Identifiable Factorization"
  ☆13Updated last year
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆189Updated 3 years ago
• takuseno / d4rl-atari
  Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)
  ☆124Updated last year
• t6-thu / H2O
  [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
  ☆57Updated 2 years ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆114Updated last year
• weipu-zhang / STORM
  ☆109Updated last year
• GuanSuns / ASGRL
  Official python implementation of ASGRL in ICML 2022 paper: Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill D…
  ☆20Updated 3 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 2 years ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆108Updated last year
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆188Updated 4 months ago