microsoft / rl-offline-simulationLinks
Data-driven offline simulation for online reinforcement learning: benchmark and baselines
☆31Updated last year
Alternatives and similar repositories for rl-offline-simulation
Users that are interested in rl-offline-simulation are comparing it to the libraries listed below
Sorting:
- Imitation learning from multiple experts☆13Updated 3 years ago
- Code repository accompanying the Heuristic Guided RL NeurIPS'21 paper☆17Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Logarithmic Reinforcement Learning☆28Updated 2 years ago
- ☆33Updated last year
- INTeractive learning via REPresentatIon Discovery☆36Updated last year
- ☆10Updated 3 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆62Updated 6 years ago
- Generalised UDRL☆37Updated 3 years ago
- The collection of the research works about Automatic Reinforcement Learning in Microsoft Research Asia.☆61Updated 6 months ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- Benchmark data for d3rlpy☆21Updated 2 years ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Updated 2 years ago
- Understanding RL vision Distill article☆25Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- This repo is the official implementation of "Mask-based Latent Reconstruction for Reinforcement Learning" (NeurIPS 2022).☆29Updated 2 years ago
- Explore and Control with Adversarial Surprise☆10Updated 4 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- Reinforcement Learning via Latent State Decoding☆29Updated 2 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- A web based platform for collecting human actions in reinforcement learning environments☆31Updated 4 months ago
- ☆17Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆53Updated 2 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆22Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 5 years ago
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆21Updated last year
- ☆32Updated 4 years ago