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eleurent
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rl-agents
Implementations of Reinforcement Learning and Planning algorithms
MIT License
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Own reward function and environment, how to use model?
#120
onkarrai06
opened
4 months ago
0
Display attention lines
#119
IsYang23
opened
5 months ago
1
Some issues regarding attention mechanisms
#118
yshichseu
opened
6 months ago
1
Some problems in the evaluation.py
#117
Louise599
opened
6 months ago
1
Some problems in the evaluation.py
#116
Louise599
closed
6 months ago
0
The problem of reward performance
#115
Louise599
opened
6 months ago
2
Display vehicle trajectory
#114
6Lackiu
closed
7 months ago
2
Algorithmic issues
#113
AHPUymhd
opened
7 months ago
3
training problem
#112
6Lackiu
closed
7 months ago
2
Environment window resizing
#111
Louise599
opened
8 months ago
1
Some warnings during operation
#110
Louise599
opened
8 months ago
1
Question about rl-agents
#109
HodaHo
opened
10 months ago
1
What reward function did you use in IntersectionEnv?
#108
seominseok00
closed
1 year ago
2
How can I obtain the accelaration information of vehicles?
#107
LemonPasserby
closed
1 year ago
3
TypeError: must be real number, not NoneType
#106
seominseok00
closed
1 year ago
11
Agent compatibility for IntersectionEnv multiagent env
#105
HeapSoil
closed
1 year ago
2
Improve frontend for the observation carousel
#104
eleurent
opened
1 year ago
0
'Adam' object has no attribute 'get_updates'
#103
AashiDutt
closed
1 year ago
2
hi, where is the code of computing social-attention and the code of updating the policy ? thanks.
#102
siatjia
closed
1 year ago
2
Fix `AbstractAgent` directory attribute.
#101
Gamenot
closed
1 year ago
1
Update configuration.py to fix AttributeError: module 'collections' h…
#100
JavierPerez21
closed
1 year ago
0
Use a trained model
#99
Davinho10
opened
1 year ago
2
AttributeError: 'Evaluation' object has no attribute 'seed'. and if it is feasible to rely solely on reinforcement learning to achieve automatic driving decision-making
#98
zh1114haoshen
closed
1 year ago
3
The problem of multi-agent
#97
yx457994451
opened
1 year ago
1
Display vehicle attention and distribution of actions only works in episode 0
#96
Karim-SUN
closed
1 year ago
1
gym.error.NameNotFound: Environment intersection doesn't exist.
#95
Lucyliu09
opened
1 year ago
3
How to config the exploration
#94
qinxianyuzi
opened
1 year ago
1
Analyze.py file missing?
#93
Davinho10
opened
1 year ago
1
some implementation issues
#92
6Lackiu
opened
1 year ago
14
ModuleNotFoundError: No module named 'finite_mdp'
#91
zsn2021
opened
1 year ago
3
Log: agent statistics
#90
siddahant
closed
1 year ago
3
TypeError: must be real number, not dict while running highway env with dqn
#89
siddahant
closed
2 years ago
5
Recommended gym and highway-env versions
#88
ShirelJosef
closed
2 years ago
3
display of env 'IntersectionEnv':
#87
swb19
opened
2 years ago
1
The script runs DDQN
#86
zhangjianguo-max
opened
2 years ago
1
rl-agent
#85
zhangjianguo-max
closed
2 years ago
1
Issue with deepcopy
#84
jlwu002
opened
2 years ago
4
`Temperature` variable in Monte Carlo Tree Search
#83
AndreasKaratzas
closed
2 years ago
2
Fix: finalised monitor deprecation in experiments and evaluation scripts
#82
TibiGG
closed
2 years ago
3
How to change a default network structure?
#81
lucalazzaroni
opened
2 years ago
2
Caching of previous_state non-compatible with Multi-Agent
#80
TibiGG
opened
2 years ago
1
DQN-Social Attention in Highway-env
#79
SimoMaestri
opened
2 years ago
5
ImportError: cannot import name 'RecordVideo'
#78
skonwa
closed
2 years ago
2
the instance command failed
#77
yuzhouxianzhi
closed
2 years ago
1
the instance command failed
#76
yuzhouxianzhi
closed
2 years ago
0
Possible issue about the module named 'rl_agents.agents.tree_search.robust'
#75
JasonWong815
closed
2 years ago
2
cannot pickle '_thread.lock' object
#74
bosunrunner
closed
3 years ago
2
Implementing Convolutinal DQN Network from the scripts
#72
OscarHuangWind
closed
2 years ago
4
Egoattention does not work in other scenario
#71
Yabing67
closed
3 years ago
1
Prioritized Experience Replay
#70
skynox03
opened
3 years ago
2
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