JesseFarebro / distributional-srLinks
Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".
☆21Updated 6 months ago
Alternatives and similar repositories for distributional-sr
Users that are interested in distributional-sr are comparing it to the libraries listed below
Sorting:
- NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.☆26Updated last week
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated 11 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- Code for Model-Free Opponent Shaping (ICML 2022)☆18Updated 2 years ago
- ☆45Updated 2 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- ☆19Updated 3 weeks ago
- ☆16Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 9 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆99Updated 7 months ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- Implementation of USFAs: https://arxiv.org/pdf/1812.07626.pdf☆9Updated 6 years ago
- An Open-Ended Agentic Simulator☆51Updated 9 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Conservative Q learning in Jax☆54Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- Object Centric Atari games☆78Updated this week
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆17Updated 7 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆101Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- POPGym Library in JAX☆11Updated last year
- Collection of resources on plasticity loss in deep reinforcement learning☆17Updated 6 months ago
- ☆47Updated 2 years ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- ☆31Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- ☆79Updated 2 months ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago