shibhansh / loss-of-plasticityLinks
Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation
☆330Updated 9 months ago
Alternatives and similar repositories for loss-of-plasticity
Users that are interested in loss-of-plasticity are comparing it to the libraries listed below
Sorting:
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆123Updated 2 years ago
- Deep reinforcement learning without experience replay, target networks, or batch updates.☆259Updated 4 months ago
- Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —☆212Updated 2 weeks ago
- Avalanche fork adding RL support☆77Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆107Updated last month
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆109Updated last year
- Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch☆130Updated 3 months ago
- Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)☆23Updated last year
- The official implementation of flow Q-learning (FQL)☆207Updated 3 weeks ago
- a continual learning optimizer mitigating catastrophic forgetting and loss of plasticity☆18Updated 9 months ago
- Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"☆43Updated last year
- Object Centric Atari games☆86Updated 2 weeks ago
- ☆93Updated last year
- Pytorch implementation of Evolutionary Policy Optimization, from Wang et al. of the Robotics Institute at Carnegie Mellon University☆97Updated last week
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆59Updated 10 months ago
- ☆344Updated 2 years ago
- ☆100Updated last year
- Collection of papers on state-space models☆595Updated 3 months ago
- Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆420Updated last year
- ☆38Updated last month
- Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.☆169Updated 2 years ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆95Updated last month
- Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy d…☆58Updated 3 years ago
- Implementation of Soft Actor Critic and some of its improvements in Pytorch☆59Updated 5 months ago
- Online Decision Transformer☆264Updated last year
- Synthetic Experience Replay☆96Updated last year
- A curated list of resources about generative flow networks (GFlowNets).☆474Updated 10 months ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆456Updated 4 months ago
- Code for Contrastive Preference Learning (CPL)☆174Updated 8 months ago
- [ICLR 2025] Implementation of "FACTS: A Factored State-Space Framework For World Modelling"☆28Updated 2 months ago