ContinualAI / avalanche-rl
Avalanche fork adding RL support
☆73Updated last year
Alternatives and similar repositories for avalanche-rl:
Users that are interested in avalanche-rl are comparing it to the libraries listed below
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆192Updated last year
- ☆88Updated last year
- Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"☆32Updated last year
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆111Updated last year
- Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.☆16Updated 3 months ago
- A Continual Multi-agent RL testbed based on Hanabi☆30Updated 3 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆146Updated 3 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆163Updated 2 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆99Updated 2 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆150Updated last year
- ☆43Updated 8 months ago
- ☆60Updated 3 years ago
- Object Centric Atari games☆64Updated last week
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆53Updated 4 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated last year
- Continual Reinforcement Learning in 3D Non-stationary Environments☆37Updated 5 years ago
- A repository to keep track of literature on catastrophic forgetting☆37Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- ☆20Updated 2 years ago
- Code for Policy Consolidation for Continual Reinforcement Learning☆10Updated 5 years ago
- ☆22Updated 2 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated last year
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆32Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆201Updated 6 months ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- The PackNet Continual Learning Method in Pytorch☆14Updated 3 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆14Updated last week