brownirl / lambda_discrepancyLinks
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
☆22Updated last year
Alternatives and similar repositories for lambda_discrepancy
Users that are interested in lambda_discrepancy are comparing it to the libraries listed below
Sorting:
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Updated last month
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Updated 3 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆112Updated 2 years ago
- POPGym Library in JAX☆12Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆76Updated 2 years ago
- Simple JAX Graphics Library.☆36Updated last year
- ☆10Updated last year
- Conservative Q learning in Jax☆57Updated 2 years ago
- Baselines for gymnax 🤖☆74Updated 2 years ago
- Pointax: PointMaze Environment for JAX☆25Updated 2 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆22Updated last year
- General Modules for JAX☆72Updated 4 months ago
- Learning diverse options through the Laplacian representation.☆23Updated 2 years ago
- Corax: Core RL in JAX☆38Updated last year
- Accelerated replay buffers in JAX☆46Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- ☆52Updated 3 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆61Updated 2 years ago
- A collection of matrix games in JAX☆13Updated last year
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆13Updated last year
- Highly scalable 2D JAX physics engine.☆61Updated 10 months ago
- ☆16Updated last year
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆26Updated last week
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year