Alternatives and similar repositories for rl-plan

Users that are interested in rl-plan are comparing it to the libraries listed below

• automl / DACBench
  A benchmark library for Dynamic Algorithm Configuration.
  ☆30Updated 8 months ago
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆25Updated 2 years ago
• jlwu002 / BCL
  [ICML 2022] Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
  ☆9Updated 2 years ago
• lamda-bbo / madac
  Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”
  ☆25Updated 2 years 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
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• omargup / neural_combinatorial_optimization
  A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
  ☆13Updated 4 years ago
• automl / SEARL
  Sample-Efficient Automated Deep Reinforcement Learning
  ☆34Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆36Updated 4 months ago
• apexrl / autombpo
  Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
  ☆13Updated 3 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆16Updated 6 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• rail-berkeley / design-bench
  ☆50Updated 3 years ago
• djeb20 / SVERL_icml_2023
  ICML paper on Shapley Values for Explaining Reinforcement Learning. XRL feature-influence method.
  ☆20Updated last year
• automl / DAC
  Dynamic Algorithm Configuration
  ☆19Updated 5 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆11Updated 4 years ago
• google-research / tf-opt
  ☆40Updated 3 months ago
• yangkevin2 / neurips2021-lap3
  ☆17Updated 3 years ago
• clementbernardd / Count-Based-Exploration
  Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project
  ☆15Updated 4 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆40Updated 2 years ago
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆64Updated last year
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆20Updated 2 years ago
• facebookresearch / LA-MCTS
  High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
  ☆28Updated 2 years ago
• XinJingHao / Actor-Sharer-Learner
  Actor-Sharer-Learner training framework for off-policy DRL algorithms
  ☆21Updated 5 months ago
• IBM / grammar2pddl
  Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…
  ☆18Updated last month
• automl / TempoRL
  ☆16Updated 3 years ago
• quantumiracle / MARS
  MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.
  ☆49Updated last year
• tianjunz / MADE
  ☆19Updated 3 years ago