tedmoskovitz / WNPG
implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
☆11Updated 4 years ago
Alternatives and similar repositories for WNPG:
Users that are interested in WNPG are comparing it to the libraries listed below
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆16Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆32Updated 9 months ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- ☆16Updated 3 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆17Updated 3 years ago
- Representation Learning in RL☆16Updated 2 years ago
- ☆31Updated 2 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- ☆31Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- ☆41Updated 3 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆13Updated 3 years ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- Generalised UDRL☆37Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆19Updated 2 years ago
- ☆32Updated 8 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Updated 4 years ago
- ☆15Updated 4 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated 2 years ago