instadeepai / qd-skill-discovery-benchmark
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
☆13Updated last year
Alternatives and similar repositories for qd-skill-discovery-benchmark:
Users that are interested in qd-skill-discovery-benchmark are comparing it to the libraries listed below
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆9Updated last year
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆13Updated last month
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆24Updated 7 months ago
- Accelerated replay buffers in JAX☆41Updated 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
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- ☆20Updated 8 months ago
- Simple JAX Graphics Library.☆30Updated 3 months ago
- General Modules for JAX☆63Updated 6 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆48Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆54Updated 10 months ago
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function☆13Updated 2 years ago
- GPT implementation in Flax☆18Updated 3 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆23Updated last year
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆17Updated 3 months ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- ☆13Updated 7 months ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆54Updated 4 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- ☆71Updated 6 months ago
- Generalised UDRL☆37Updated 2 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated 10 months ago
- Baselines for gymnax 🤖☆63Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆62Updated last year
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆20Updated 4 years ago
- An Open-Ended Agentic Simulator☆39Updated 6 months ago