CausalML / DoubleReinforcementLearningMDPLinks
☆13Updated 6 months ago
Alternatives and similar repositories for DoubleReinforcementLearningMDP
Users that are interested in DoubleReinforcementLearningMDP are comparing it to the libraries listed below
Sorting:
- ☆48Updated 3 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- ☆89Updated last year
- Reinforcement Learning via Latent State Decoding☆29Updated 2 years ago
- Author's PyTorch implementation of paper "Provably Good Batch Reinforcement Learning Without Great Exploration"☆12Updated 5 years ago
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Updated 4 years ago
- References at the Intersection of Causality and Reinforcement Learning☆89Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 6 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Implementation of importance sampling, direct, and hybrid methods for off-policy evaluation.☆16Updated 5 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 9 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆33Updated 8 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆54Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 5 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Updated 6 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 7 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago