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
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆27Updated 2 years ago
• jsikyoon / dreamer-torch
  Pytorch version of Dreamer, which follows the original TF v2 codes.
  ☆125Updated 3 years ago
• nuwuxian / RL-state_mask
  ☆13Updated last year
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆45Updated 3 years ago
• nuria95 / O-RAAC
  Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting
  ☆35Updated 4 years ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆33Updated 2 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 years ago
• geon-hyeong / imitation-dice
  ☆7Updated 2 years ago
• GilgameshD / GRADER
  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…
  ☆33Updated 2 years ago
• Cloud0723 / Offline-MLIRL
  ☆19Updated last year
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆101Updated last year
• martius-lab / pink-noise-rl
  ☆43Updated 2 years ago
• jemaw / gym-safety
  Simple gym environments for safety in Reinforcement Learning Research
  ☆16Updated 10 months ago
• x35f / model_based_rl
  model based reinforcement learning algorithms for unstable baselines
  ☆13Updated 2 years ago
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆22Updated 7 months ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆69Updated last year
• chwoong / LiRE
  Listwise Reward Estimation for Offline Preference-based Reinforcement Learning (ICML 2024)
  ☆14Updated 11 months ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆26Updated last year
• pbecker93 / vrkn
  Code for "On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning" (TMLR, 2022)
  ☆17Updated last year
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated 11 months ago
• elliotchanesane31 / RIS
  ☆53Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• zaiyan-x / RFQI
  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
  ☆24Updated 6 months ago
• QData / dmc_remastered
  A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
  ☆18Updated 4 years ago
• secury / optidice
  OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
  ☆15Updated last year
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 6 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆74Updated last year