Alternatives and similar repositories for Meta-Critic:

Users that are interested in Meta-Critic are comparing it to the libraries listed below

• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• qlan3 / MeDQN
  The official implementation of Memory-efficient DQN algorithm.
  ☆10Updated last year
• Cranial-XIX / metric-residual-network
  Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
  ☆17Updated 2 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆15Updated 5 years ago
• RoozbehRazavi / BIMRL
  Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)
  ☆10Updated 2 years ago
• bramgrooten / automatic-noise-filtering
  [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"
  ☆13Updated last year
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 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
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆38Updated 2 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• XinJingHao / Actor-Sharer-Learner
  Actor-Sharer-Learner training framework for off-policy DRL algorithms
  ☆19Updated 4 months ago
• Vision-CAIR / AF-Guide
  Official repository of Action-Free Guide
  ☆11Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆23Updated last year
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆16Updated 3 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆14Updated 3 years ago
• nesl / Time-in-State-RL
  Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.
  ☆25Updated 3 years ago
• google-deepmind / active_ops
  ☆32Updated 9 months ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆38Updated 4 years ago
• tgangwani / GuidanceRewards
  Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)
  ☆12Updated 3 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• ThibautTheate / Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning
  Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…
  ☆15Updated 2 years ago
• yiqiwang8177 / Official-codebase-for-Decision-Transducer
  This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…
  ☆11Updated last year
• 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
• hiwonjoon / IROS2021_SORS
  ☆11Updated 3 years ago
• rll-research / finetune-vs-metarl
  ☆14Updated 2 years ago
• Steven-Ho / VALOR
  Implementation of VALOR (Variational Option Discovery Algorithms)
  ☆10Updated 5 years ago
• notmahi / disk
  PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…
  ☆19Updated 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"
  ☆30Updated 2 years ago