ContinualAI / avalanche-rl
Avalanche fork adding RL support
☆72Updated last year
Alternatives and similar repositories for avalanche-rl:
Users that are interested in avalanche-rl are comparing it to the libraries listed below
- ☆86Updated last year
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆192Updated last year
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆32Updated last year
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆163Updated 2 years ago
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆109Updated last year
- A list of papers regarding generalization in (deep) reinforcement learning☆150Updated last year
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆146Updated 3 years ago
- Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.☆16Updated 2 months ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆104Updated 2 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆30Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆74Updated 4 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆98Updated 2 years ago
- ☆59Updated 3 years ago
- Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)☆13Updated last year
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆14Updated 3 weeks ago
- A Continual Learning Library in PyTorch and JAX☆14Updated last year
- A Neuromodulated Meta-Learning algorithm☆115Updated 4 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆53Updated 4 years ago
- ☆20Updated 2 years ago
- Code for the pubblication "Distilled Replay: Overcoming Forgetting through Synthetic Examples"☆13Updated 3 years ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆41Updated 5 months ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated 11 months ago
- Code for Policy Consolidation for Continual Reinforcement Learning☆10Updated 5 years ago
- Model Zoos for Continual Learning (ICLR 22)☆43Updated last year
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated last year
- Code for "Supermasks in Superposition"☆121Updated last year
- ☆21Updated 2 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆36Updated 5 years ago
- ☆29Updated 2 years ago