rail-berkeley / design-benchLinks
☆52Updated 3 years ago
Alternatives and similar repositories for design-bench
Users that are interested in design-bench are comparing it to the libraries listed below
Sorting:
- ☆24Updated 3 years ago
- Baselines for Model-Based Optimization☆54Updated 3 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆68Updated 3 years ago
- ☆32Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆89Updated last year
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Updated 3 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Updated 4 years ago
- ☆30Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months ago
- ☆31Updated 2 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- ☆32Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- A PyTorch Implementation of Skipper☆27Updated last year
- ☆57Updated 3 years ago
- ☆52Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Reinforcement Learning via Supervised Learning☆72Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Updated 2 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago