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corl-team
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xland-minigrid
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
Apache License 2.0
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Fail to optimize single tasks in the given demo. Maybe intermediate reward is needed.
#21
alexxchen
closed
2 weeks ago
10
Time limits rework
#20
Howuhh
closed
2 months ago
0
small improvements
#19
Howuhh
closed
2 months ago
0
The rollout speed is slower than gymnasium
#17
alexxchen
closed
3 months ago
4
Change tile grid cell conversion in render function
#16
afspies
closed
3 months ago
1
observations of env when not RGB
#15
wcarvalho
closed
3 months ago
1
fix evaluation in standalone
#14
Howuhh
closed
3 months ago
0
Allow XLand benchmarks as a single task envs in single-task ppo
#13
Howuhh
closed
3 months ago
0
move baselines to separate repo and add MAML
#12
Howuhh
opened
3 months ago
7
add more objects and colours for extended benchmarks
#11
Howuhh
opened
4 months ago
0
add option to save rollout gif for manual_control
#10
Howuhh
closed
3 months ago
0
RGB image observation wrapper compatible with jit
#9
Howuhh
closed
3 months ago
2
implement jit-compatible rendering
#8
Howuhh
closed
3 months ago
1
add experimental support for new gymnasium FuncEnv
#7
Howuhh
opened
4 months ago
0
Full typings support
#6
Howuhh
closed
4 months ago
0
Fix issue #3.
#5
floringogianu
closed
5 months ago
2
Add check for type hints with pyright (pre-commit hook + github action)
#4
Howuhh
closed
4 months ago
0
`ValueError: mutable default…` on the library import for python > 3.10
#3
ntoxeg
closed
5 months ago
5
[Feature Request] Add Maze-like env
#2
carlosluis
opened
7 months ago
6
Roadmap to v1.0
#1
Howuhh
opened
7 months ago
0