Alternatives and similar repositories for optim4rl

Users that are interested in optim4rl are comparing it to the libraries listed below

• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆39Updated 4 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated last year
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• ElisevanderPol / symmetrizer
  ☆31Updated 4 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 3 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 2 months ago
• robintyh1 / icml2021-pengqlambda
  Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
  ☆15Updated 4 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆56Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• twitter-research / hyperbolic-rl
  ☆56Updated 2 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 4 years ago
• google-deepmind / active_ops
  ☆32Updated last year
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• hwang-ua / inac_pytorch
  ☆19Updated 2 years ago
• google-deepmind / csuite
  ☆44Updated 11 months ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆17Updated 3 years ago
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆26Updated 3 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago
• sebascuri / hucrl
  ☆31Updated last year
• rail-berkeley / design-bench
  ☆51Updated 3 years ago
• uncharted-technologies / risk-and-uncertainty
  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
  ☆31Updated 2 years ago