rail-berkeley / design-baselinesLinks
☆24Updated 3 years ago
Alternatives and similar repositories for design-baselines
Users that are interested in design-baselines are comparing it to the libraries listed below
Sorting:
- ☆53Updated 3 years ago
- Baselines for Model-Based Optimization☆55Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆30Updated 2 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆21Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Updated 2 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- My Body Is A Cage☆41Updated 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
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Updated 4 years ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- Reinforcement Learning via Supervised Learning☆72Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆25Updated 2 years ago
- ☆33Updated last year
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 3 years ago
- PyTorch Package For Quasimetric Learning☆45Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning☆26Updated 2 years ago
- ☆31Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated 2 years ago
- ☆46Updated last year
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 4 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆69Updated 3 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆27Updated 4 years ago
- Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)☆38Updated 4 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- ☆58Updated 3 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago
- Mirror Descent Policy Optimization☆41Updated 5 years ago
- ☆30Updated 4 years ago