JaydenTeoh / MORL-GeneralizationLinks
Benchmark for evaluating the generalization capabilities of Multi-Objective Reinforcement Learning (MORL) algorithms.
☆23Updated 3 months ago
Alternatives and similar repositories for MORL-Generalization
Users that are interested in MORL-Generalization are comparing it to the libraries listed below
Sorting:
- Unified Implementations of Offline Reinforcement Learning Algorithms☆106Updated 5 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆58Updated last week
- Benchmarking RL generalization in an interpretable way.☆163Updated 3 months ago
- Clean single-file implementation of offline RL algorithms in JAX☆156Updated 9 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆148Updated 2 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- ☆106Updated 7 months ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆48Updated 4 months ago
- Conservative Q learning in Jax☆55Updated 2 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆66Updated 4 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆18Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆18Updated 4 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 11 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆184Updated 6 months ago
- ☆83Updated 3 weeks ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆20Updated 11 months ago
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆188Updated 4 months ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated 2 years ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆15Updated last month
- Agar.io for Continual Reinforcement Learning☆22Updated 2 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆28Updated 5 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆95Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 3 years ago
- Skeleton for scalable and flexible Jax RL implementations☆87Updated 2 years ago
- ☆48Updated 2 years ago