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
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Updated 4 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆68Updated 3 years ago
- ☆88Updated 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
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- ☆48Updated 2 years ago
- ☆57Updated 3 years ago
- ☆31Updated 4 years ago
- ☆31Updated 2 years ago
- ☆29Updated 4 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆50Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆57Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- ☆32Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆16Updated 4 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- Reinforcement Learning via Supervised Learning☆71Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Updated 2 years ago