zwfightzw / Meta-CriticLinks
☆11Updated 4 years ago
Alternatives and similar repositories for Meta-Critic
Users that are interested in Meta-Critic are comparing it to the libraries listed below
Sorting:
- The official implementation of Memory-efficient DQN algorithm.☆10Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆17Updated 2 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 2 years ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆20Updated 5 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- ☆24Updated last year
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- ☆10Updated 4 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Official repo for Offline RL for Online RL☆16Updated last year
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆13Updated last year
- Implementation of Proximal Policy Optimization in Jax+Flax☆19Updated 2 years ago
- Official repository of Action-Free Guide☆10Updated 2 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆13Updated last year
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 5 years ago
- ☆17Updated 4 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆17Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 4 years ago