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:
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 2 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆40Updated 4 years ago
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆17Updated 2 years ago
- Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.☆25Updated 4 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Updated 3 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆12Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 4 years ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆21Updated 8 months ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆17Updated 3 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.0979…☆13Updated 3 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated last month
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- ☆25Updated last year
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆12Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆31Updated 2 years ago
- ☆17Updated 4 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- ☆11Updated 4 years ago
- ☆18Updated 3 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆20Updated 2 years ago