Alternatives and similar repositories for NECSA

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

• YangRui2015 / RORL
  Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
  ☆19Updated 2 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆59Updated last year
• x35f / meta_rl
  Meta RL codebase for Unstable Baselines
  ☆21Updated 2 years ago
• MouseHu / GEM
  ☆14Updated 4 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆60Updated 2 years ago
• BY571 / CQL
  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…
  ☆140Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆148Updated last year
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆88Updated last year
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆112Updated 2 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆134Updated last year
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆36Updated 3 years ago
• BY571 / Implicit-Q-Learning
  PyTorch implementation of the implicit Q-learning algorithm (IQL)
  ☆42Updated 3 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆76Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• keirp / return_transforms
  ☆20Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆180Updated 3 years ago
• KAIST-AILab / imitation-dice
  ☆17Updated 8 months ago
• shlee94 / Off2OnRL
  ☆57Updated 2 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆32Updated 8 months ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated last month
• ling-pan / OMAR
  ☆50Updated 3 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆56Updated 2 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 2 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆130Updated 3 years ago
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆132Updated 2 years ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆27Updated 3 years ago