Alternatives and similar repositories for SparseNetwork4DRL

Users that are interested in SparseNetwork4DRL are comparing it to the libraries listed below

• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆32Updated last year
• OffDynamicsRL / off-dynamics-rl
  ☆57Updated last month
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆114Updated last year
• jhejna / inverse-preference-learning
  ☆42Updated 2 years ago
• naumix / BiggerRegularizedOptimistic
  Official implementation of the BRO algorithm
  ☆52Updated 10 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆39Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆118Updated 3 years ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆80Updated last year
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆22Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆154Updated 2 years ago
• d5rlbenchmark / d5rl
  ☆29Updated 2 years ago
• SonyResearch / simba
  ☆112Updated 9 months ago
• pcheng2 / TSRL
  ☆19Updated 2 years ago
• Zzl35 / flow-to-better
  ☆25Updated last year
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆33Updated last year
• gwthomas / IQL-PyTorch
  A PyTorch implementation of Implicit Q-Learning
  ☆92Updated 4 years ago
• yihaosun1124 / pytorch-mopo
  re-implementation of the offline model-based RL algorithm MOPO in pytorch
  ☆25Updated 3 years ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆29Updated 3 years ago
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆22Updated last year
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆133Updated 4 years ago
• pcchenxi / LAPO-offlienRL
  ☆15Updated 3 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆292Updated last month
• rainx0r / metaworld-algorithms
  Implementations of Multi-Task and Meta-Learning baselines for the Metaworld benchmark
  ☆27Updated 3 months ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆37Updated 3 years ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆200Updated 2 weeks ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆80Updated 3 years ago
• ldcq / ldcq
  ☆37Updated 2 years ago
• RLE-Foundation / Plasticine
  Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
  ☆30Updated 5 months ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year