Alternatives and similar repositories for briee:

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

• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆16Updated 3 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• eric-mitchell / macaw-min
  Clean, extensible implementation of MACAW [ICML 2021]
  ☆13Updated 3 years ago
• jdchang1 / milo
  ☆16Updated 3 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆11Updated 4 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• robintyh1 / icml2021-pengqlambda
  Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
  ☆16Updated 3 years ago
• tessavdheiden / social_empowerment
  ☆16Updated 9 months ago
• micahcarroll / uniMASK
  Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"
  ☆55Updated 10 months ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• clvrai / new-actions-rl
  ☆24Updated 8 months ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆20Updated 4 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• RockySJ / ampo
  ☆15Updated 4 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• Stanford-ILIAD / Conventions-ModularPolicy
  PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
  ☆16Updated 4 years ago
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 2 years ago
• rraileanu / policy-dynamics-value-functions
  ☆32Updated 8 months ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago