TrentBrick / RewardConditionedUDRL
Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
☆18Updated 3 years ago
Alternatives and similar repositories for RewardConditionedUDRL:
Users that are interested in RewardConditionedUDRL are comparing it to the libraries listed below
- Generalised UDRL☆37Updated 2 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated last year
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆25Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆14Updated 2 years ago
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆13Updated 8 months ago
- My Body Is A Cage☆39Updated 3 years ago
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆23Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 2 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆18Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 10 months ago
- Simplistic Pytorch Implementation of the Dreamer-RL☆21Updated 2 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆19Updated 5 months ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated last year
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 3 years ago
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆17Updated 2 years ago
- Variational Reinforcement Learning☆16Updated 6 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 3 months ago
- ☆19Updated 3 years ago
- ☆25Updated 6 years ago
- Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)☆20Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆27Updated 2 years ago