david-lindner / safe-grid-gym
A gym interface for AI safety gridworlds created in pycolab.
☆17Updated 2 years ago
Alternatives and similar repositories for safe-grid-gym:
Users that are interested in safe-grid-gym are comparing it to the libraries listed below
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆22Updated 2 years ago
- Simple gym environments for safety in Reinforcement Learning Research☆15Updated 7 months ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆43Updated 7 months ago
- ☆30Updated 5 years ago
- Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".☆18Updated 3 months ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).☆31Updated 2 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Updated 7 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆16Updated 2 years ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- ☆42Updated last year
- Gridworld domains in the gym interface☆27Updated 4 months ago
- ☆54Updated 11 months ago
- The Implementation of "Machine Theory of Mind", ICML 2018☆22Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆140Updated last year
- PAIRED in PyTorch 🔥☆58Updated last year
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- Conservative Q learning in Jax☆52Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- COOM: Benchmarking Continual Reinforcement Learning on Doom☆14Updated last week
- Object Centric Atari games☆64Updated last week
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- Proximal Policy Option-Critic☆22Updated 6 years ago
- Gridworld for MARL experiments☆138Updated 4 years ago
- Nethack Learning Environment Wrapper for Language Interface☆35Updated last year
- A tool for aggregating and plotting MARL experiment data.☆71Updated last month
- Benchmarking RL generalization in an interpretable way.☆142Updated last week